correlation analysis Search Results


statistical tool statgraphics plus  (statpoint inc)
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statpoint inc statistical tool statgraphics plus
Statistical Tool Statgraphics Plus, supplied by statpoint inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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quasi-periodic cycle correlations visibility transition probabilities recurrence analysis (phase-space reconstruction)  (PhaseSpace Inc)
90
PhaseSpace Inc quasi-periodic cycle correlations visibility transition probabilities recurrence analysis (phase-space reconstruction)
Quasi Periodic Cycle Correlations Visibility Transition Probabilities Recurrence Analysis (Phase Space Reconstruction), supplied by PhaseSpace Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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quasi-periodic cycle correlations visibility transition probabilities recurrence analysis (phase-space reconstruction) - by Bioz Stars, 2026-08
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pearson correlation and regression analysis  (MedCalc Software Ltd)
90
MedCalc Software Ltd pearson correlation and regression analysis
Pearson Correlation And Regression Analysis, supplied by MedCalc Software Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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pearson’s correlation analysis  (RStudio)
90
RStudio pearson’s correlation analysis
Pearson’s Correlation Analysis, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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pearson’s correlation analysis - by Bioz Stars, 2026-08
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meta-analysis of correlations statistical methods  (MedCalc Software Ltd)
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MedCalc Software Ltd meta-analysis of correlations statistical methods
Meta Analysis Of Correlations Statistical Methods, supplied by MedCalc Software Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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meta-analysis of correlations statistical methods - by Bioz Stars, 2026-08
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pearson correlation matrix and principal component analysis  (Addinsoft inc)
90
Addinsoft inc pearson correlation matrix and principal component analysis
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spearman’s correlation coefficient analysis  (BGI Shenzhen)
90
BGI Shenzhen spearman’s correlation coefficient analysis
Bacterial richness and diversity analysis. (A) We found 510 shared universal OTUs in samples from both FHRAC-positive and FHRAC-negative patients. FHRAC-positive patients contained more unique OTUs than did FHRAC-negative patients (554 vs. 538 OTUs). (B) α-diversity analysis showed no significant differences in the Simpson’s, Shannon’s, Sobs, abundance-based coverage estimator (ACE), Chao, or other observed species indexes between the two groups ( P > 0.05). (C) Microbial community diversity in the FHRAC-positive patients was significantly lower than that of the FHRAC-negative patients ( P < 0.05). (D) Twenty-seven microbial genera were detected. In FHRAC-positive patients, Bacteroides , Escherichia , Others, Faecalibacterium , Phascolarctobacterium , Prevotella , Lachnospiraceae incertae , Megamonas , Veillonella , and Megasphaera were the top genera, constituting 79% of the taxa. Escherichia , Others, Bacteroides , Megamonas , Prevotella , Faecalibacterium , Gemmiger , Ruminococcus , Megasphaera and Citrobacter were the top genera in the FHRAC-negative patients (78%). (E) The Wilcoxon test was used to compare the significantly different top 10 genera. Lachnospiraceae_incertae_sedis was higher in FHRAC-positive patients than in FHRAC-negative patients. (F) linear discriminant analysis (LDA) effect-size (LEfSe) analysis showed that FHRAC-negative patient samples contained mainly Epsilonproteobacteria at the class level, Campylobacterales and Actinomycetales at the order level and Campylobacteraceae at the family level. (G) Lachnospiraceae_incertae_sedis , Anaerostipes , Actinomycetales , Desulfovibrio , Barnesiella , Lachnospira , Campylobacteraceae , Epsilonproteobacteria , Campylobacterales , Campylobacter , and Klebsiella were differentially expressed among the taxonomic levels. (H) We detected 157 metabolites or pathways at the KEGG level 3. The Wilcoxon test was used to compare the significantly different features. The differentially expressed microbiota were closely related to four differential metabolic pathways, including glycosaminoglycan degradation. (I) The Spearman’s correlation <t>coefficient</t> showed an association between clinical manifestations and microbial taxa. Glycosaminoglycan degradation was positively correlated with albumin (ALB). Lachnospiraceae_incertae_sedis was positively correlated with IgG. *P<0.05.
Spearman’s Correlation Coefficient Analysis, supplied by BGI Shenzhen, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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spearman’s correlation coefficient analysis - by Bioz Stars, 2026-08
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correlation analysis by the spearman rank method  (RStudio)
90
RStudio correlation analysis by the spearman rank method
Bacterial richness and diversity analysis. (A) We found 510 shared universal OTUs in samples from both FHRAC-positive and FHRAC-negative patients. FHRAC-positive patients contained more unique OTUs than did FHRAC-negative patients (554 vs. 538 OTUs). (B) α-diversity analysis showed no significant differences in the Simpson’s, Shannon’s, Sobs, abundance-based coverage estimator (ACE), Chao, or other observed species indexes between the two groups ( P > 0.05). (C) Microbial community diversity in the FHRAC-positive patients was significantly lower than that of the FHRAC-negative patients ( P < 0.05). (D) Twenty-seven microbial genera were detected. In FHRAC-positive patients, Bacteroides , Escherichia , Others, Faecalibacterium , Phascolarctobacterium , Prevotella , Lachnospiraceae incertae , Megamonas , Veillonella , and Megasphaera were the top genera, constituting 79% of the taxa. Escherichia , Others, Bacteroides , Megamonas , Prevotella , Faecalibacterium , Gemmiger , Ruminococcus , Megasphaera and Citrobacter were the top genera in the FHRAC-negative patients (78%). (E) The Wilcoxon test was used to compare the significantly different top 10 genera. Lachnospiraceae_incertae_sedis was higher in FHRAC-positive patients than in FHRAC-negative patients. (F) linear discriminant analysis (LDA) effect-size (LEfSe) analysis showed that FHRAC-negative patient samples contained mainly Epsilonproteobacteria at the class level, Campylobacterales and Actinomycetales at the order level and Campylobacteraceae at the family level. (G) Lachnospiraceae_incertae_sedis , Anaerostipes , Actinomycetales , Desulfovibrio , Barnesiella , Lachnospira , Campylobacteraceae , Epsilonproteobacteria , Campylobacterales , Campylobacter , and Klebsiella were differentially expressed among the taxonomic levels. (H) We detected 157 metabolites or pathways at the KEGG level 3. The Wilcoxon test was used to compare the significantly different features. The differentially expressed microbiota were closely related to four differential metabolic pathways, including glycosaminoglycan degradation. (I) The Spearman’s correlation <t>coefficient</t> showed an association between clinical manifestations and microbial taxa. Glycosaminoglycan degradation was positively correlated with albumin (ALB). Lachnospiraceae_incertae_sedis was positively correlated with IgG. *P<0.05.
Correlation Analysis By The Spearman Rank Method, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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pearson’s rank correlation  (DuPont de Nemours)
90
DuPont de Nemours pearson’s rank correlation
Bacterial richness and diversity analysis. (A) We found 510 shared universal OTUs in samples from both FHRAC-positive and FHRAC-negative patients. FHRAC-positive patients contained more unique OTUs than did FHRAC-negative patients (554 vs. 538 OTUs). (B) α-diversity analysis showed no significant differences in the Simpson’s, Shannon’s, Sobs, abundance-based coverage estimator (ACE), Chao, or other observed species indexes between the two groups ( P > 0.05). (C) Microbial community diversity in the FHRAC-positive patients was significantly lower than that of the FHRAC-negative patients ( P < 0.05). (D) Twenty-seven microbial genera were detected. In FHRAC-positive patients, Bacteroides , Escherichia , Others, Faecalibacterium , Phascolarctobacterium , Prevotella , Lachnospiraceae incertae , Megamonas , Veillonella , and Megasphaera were the top genera, constituting 79% of the taxa. Escherichia , Others, Bacteroides , Megamonas , Prevotella , Faecalibacterium , Gemmiger , Ruminococcus , Megasphaera and Citrobacter were the top genera in the FHRAC-negative patients (78%). (E) The Wilcoxon test was used to compare the significantly different top 10 genera. Lachnospiraceae_incertae_sedis was higher in FHRAC-positive patients than in FHRAC-negative patients. (F) linear discriminant analysis (LDA) effect-size (LEfSe) analysis showed that FHRAC-negative patient samples contained mainly Epsilonproteobacteria at the class level, Campylobacterales and Actinomycetales at the order level and Campylobacteraceae at the family level. (G) Lachnospiraceae_incertae_sedis , Anaerostipes , Actinomycetales , Desulfovibrio , Barnesiella , Lachnospira , Campylobacteraceae , Epsilonproteobacteria , Campylobacterales , Campylobacter , and Klebsiella were differentially expressed among the taxonomic levels. (H) We detected 157 metabolites or pathways at the KEGG level 3. The Wilcoxon test was used to compare the significantly different features. The differentially expressed microbiota were closely related to four differential metabolic pathways, including glycosaminoglycan degradation. (I) The Spearman’s correlation <t>coefficient</t> showed an association between clinical manifestations and microbial taxa. Glycosaminoglycan degradation was positively correlated with albumin (ALB). Lachnospiraceae_incertae_sedis was positively correlated with IgG. *P<0.05.
Pearson’s Rank Correlation, supplied by DuPont de Nemours, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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pearson’s rank correlation - by Bioz Stars, 2026-08
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pearson correlation  (OriginLab corp)
90
OriginLab corp pearson correlation
Bacterial richness and diversity analysis. (A) We found 510 shared universal OTUs in samples from both FHRAC-positive and FHRAC-negative patients. FHRAC-positive patients contained more unique OTUs than did FHRAC-negative patients (554 vs. 538 OTUs). (B) α-diversity analysis showed no significant differences in the Simpson’s, Shannon’s, Sobs, abundance-based coverage estimator (ACE), Chao, or other observed species indexes between the two groups ( P > 0.05). (C) Microbial community diversity in the FHRAC-positive patients was significantly lower than that of the FHRAC-negative patients ( P < 0.05). (D) Twenty-seven microbial genera were detected. In FHRAC-positive patients, Bacteroides , Escherichia , Others, Faecalibacterium , Phascolarctobacterium , Prevotella , Lachnospiraceae incertae , Megamonas , Veillonella , and Megasphaera were the top genera, constituting 79% of the taxa. Escherichia , Others, Bacteroides , Megamonas , Prevotella , Faecalibacterium , Gemmiger , Ruminococcus , Megasphaera and Citrobacter were the top genera in the FHRAC-negative patients (78%). (E) The Wilcoxon test was used to compare the significantly different top 10 genera. Lachnospiraceae_incertae_sedis was higher in FHRAC-positive patients than in FHRAC-negative patients. (F) linear discriminant analysis (LDA) effect-size (LEfSe) analysis showed that FHRAC-negative patient samples contained mainly Epsilonproteobacteria at the class level, Campylobacterales and Actinomycetales at the order level and Campylobacteraceae at the family level. (G) Lachnospiraceae_incertae_sedis , Anaerostipes , Actinomycetales , Desulfovibrio , Barnesiella , Lachnospira , Campylobacteraceae , Epsilonproteobacteria , Campylobacterales , Campylobacter , and Klebsiella were differentially expressed among the taxonomic levels. (H) We detected 157 metabolites or pathways at the KEGG level 3. The Wilcoxon test was used to compare the significantly different features. The differentially expressed microbiota were closely related to four differential metabolic pathways, including glycosaminoglycan degradation. (I) The Spearman’s correlation <t>coefficient</t> showed an association between clinical manifestations and microbial taxa. Glycosaminoglycan degradation was positively correlated with albumin (ALB). Lachnospiraceae_incertae_sedis was positively correlated with IgG. *P<0.05.
Pearson Correlation, supplied by OriginLab corp, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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pearson correlation - by Bioz Stars, 2026-08
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intraclass correlation coefficient (icc) implemented in  (RStudio)
90
RStudio intraclass correlation coefficient (icc) implemented in
Bacterial richness and diversity analysis. (A) We found 510 shared universal OTUs in samples from both FHRAC-positive and FHRAC-negative patients. FHRAC-positive patients contained more unique OTUs than did FHRAC-negative patients (554 vs. 538 OTUs). (B) α-diversity analysis showed no significant differences in the Simpson’s, Shannon’s, Sobs, abundance-based coverage estimator (ACE), Chao, or other observed species indexes between the two groups ( P > 0.05). (C) Microbial community diversity in the FHRAC-positive patients was significantly lower than that of the FHRAC-negative patients ( P < 0.05). (D) Twenty-seven microbial genera were detected. In FHRAC-positive patients, Bacteroides , Escherichia , Others, Faecalibacterium , Phascolarctobacterium , Prevotella , Lachnospiraceae incertae , Megamonas , Veillonella , and Megasphaera were the top genera, constituting 79% of the taxa. Escherichia , Others, Bacteroides , Megamonas , Prevotella , Faecalibacterium , Gemmiger , Ruminococcus , Megasphaera and Citrobacter were the top genera in the FHRAC-negative patients (78%). (E) The Wilcoxon test was used to compare the significantly different top 10 genera. Lachnospiraceae_incertae_sedis was higher in FHRAC-positive patients than in FHRAC-negative patients. (F) linear discriminant analysis (LDA) effect-size (LEfSe) analysis showed that FHRAC-negative patient samples contained mainly Epsilonproteobacteria at the class level, Campylobacterales and Actinomycetales at the order level and Campylobacteraceae at the family level. (G) Lachnospiraceae_incertae_sedis , Anaerostipes , Actinomycetales , Desulfovibrio , Barnesiella , Lachnospira , Campylobacteraceae , Epsilonproteobacteria , Campylobacterales , Campylobacter , and Klebsiella were differentially expressed among the taxonomic levels. (H) We detected 157 metabolites or pathways at the KEGG level 3. The Wilcoxon test was used to compare the significantly different features. The differentially expressed microbiota were closely related to four differential metabolic pathways, including glycosaminoglycan degradation. (I) The Spearman’s correlation <t>coefficient</t> showed an association between clinical manifestations and microbial taxa. Glycosaminoglycan degradation was positively correlated with albumin (ALB). Lachnospiraceae_incertae_sedis was positively correlated with IgG. *P<0.05.
Intraclass Correlation Coefficient (Icc) Implemented In, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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intraclass correlation coefficient (icc) implemented in - by Bioz Stars, 2026-08
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pixel-by-pixel intensity correlation analysis  (MetaMorph Inc)
90
MetaMorph Inc pixel-by-pixel intensity correlation analysis
Bacterial richness and diversity analysis. (A) We found 510 shared universal OTUs in samples from both FHRAC-positive and FHRAC-negative patients. FHRAC-positive patients contained more unique OTUs than did FHRAC-negative patients (554 vs. 538 OTUs). (B) α-diversity analysis showed no significant differences in the Simpson’s, Shannon’s, Sobs, abundance-based coverage estimator (ACE), Chao, or other observed species indexes between the two groups ( P > 0.05). (C) Microbial community diversity in the FHRAC-positive patients was significantly lower than that of the FHRAC-negative patients ( P < 0.05). (D) Twenty-seven microbial genera were detected. In FHRAC-positive patients, Bacteroides , Escherichia , Others, Faecalibacterium , Phascolarctobacterium , Prevotella , Lachnospiraceae incertae , Megamonas , Veillonella , and Megasphaera were the top genera, constituting 79% of the taxa. Escherichia , Others, Bacteroides , Megamonas , Prevotella , Faecalibacterium , Gemmiger , Ruminococcus , Megasphaera and Citrobacter were the top genera in the FHRAC-negative patients (78%). (E) The Wilcoxon test was used to compare the significantly different top 10 genera. Lachnospiraceae_incertae_sedis was higher in FHRAC-positive patients than in FHRAC-negative patients. (F) linear discriminant analysis (LDA) effect-size (LEfSe) analysis showed that FHRAC-negative patient samples contained mainly Epsilonproteobacteria at the class level, Campylobacterales and Actinomycetales at the order level and Campylobacteraceae at the family level. (G) Lachnospiraceae_incertae_sedis , Anaerostipes , Actinomycetales , Desulfovibrio , Barnesiella , Lachnospira , Campylobacteraceae , Epsilonproteobacteria , Campylobacterales , Campylobacter , and Klebsiella were differentially expressed among the taxonomic levels. (H) We detected 157 metabolites or pathways at the KEGG level 3. The Wilcoxon test was used to compare the significantly different features. The differentially expressed microbiota were closely related to four differential metabolic pathways, including glycosaminoglycan degradation. (I) The Spearman’s correlation <t>coefficient</t> showed an association between clinical manifestations and microbial taxa. Glycosaminoglycan degradation was positively correlated with albumin (ALB). Lachnospiraceae_incertae_sedis was positively correlated with IgG. *P<0.05.
Pixel By Pixel Intensity Correlation Analysis, supplied by MetaMorph Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Bacterial richness and diversity analysis. (A) We found 510 shared universal OTUs in samples from both FHRAC-positive and FHRAC-negative patients. FHRAC-positive patients contained more unique OTUs than did FHRAC-negative patients (554 vs. 538 OTUs). (B) α-diversity analysis showed no significant differences in the Simpson’s, Shannon’s, Sobs, abundance-based coverage estimator (ACE), Chao, or other observed species indexes between the two groups ( P > 0.05). (C) Microbial community diversity in the FHRAC-positive patients was significantly lower than that of the FHRAC-negative patients ( P < 0.05). (D) Twenty-seven microbial genera were detected. In FHRAC-positive patients, Bacteroides , Escherichia , Others, Faecalibacterium , Phascolarctobacterium , Prevotella , Lachnospiraceae incertae , Megamonas , Veillonella , and Megasphaera were the top genera, constituting 79% of the taxa. Escherichia , Others, Bacteroides , Megamonas , Prevotella , Faecalibacterium , Gemmiger , Ruminococcus , Megasphaera and Citrobacter were the top genera in the FHRAC-negative patients (78%). (E) The Wilcoxon test was used to compare the significantly different top 10 genera. Lachnospiraceae_incertae_sedis was higher in FHRAC-positive patients than in FHRAC-negative patients. (F) linear discriminant analysis (LDA) effect-size (LEfSe) analysis showed that FHRAC-negative patient samples contained mainly Epsilonproteobacteria at the class level, Campylobacterales and Actinomycetales at the order level and Campylobacteraceae at the family level. (G) Lachnospiraceae_incertae_sedis , Anaerostipes , Actinomycetales , Desulfovibrio , Barnesiella , Lachnospira , Campylobacteraceae , Epsilonproteobacteria , Campylobacterales , Campylobacter , and Klebsiella were differentially expressed among the taxonomic levels. (H) We detected 157 metabolites or pathways at the KEGG level 3. The Wilcoxon test was used to compare the significantly different features. The differentially expressed microbiota were closely related to four differential metabolic pathways, including glycosaminoglycan degradation. (I) The Spearman’s correlation coefficient showed an association between clinical manifestations and microbial taxa. Glycosaminoglycan degradation was positively correlated with albumin (ALB). Lachnospiraceae_incertae_sedis was positively correlated with IgG. *P<0.05.

Journal: Frontiers in Immunology

Article Title: Disease predisposition of human leukocyte antigen class II genes influences the gut microbiota composition in patients with primary biliary cholangitis

doi: 10.3389/fimmu.2022.984697

Figure Lengend Snippet: Bacterial richness and diversity analysis. (A) We found 510 shared universal OTUs in samples from both FHRAC-positive and FHRAC-negative patients. FHRAC-positive patients contained more unique OTUs than did FHRAC-negative patients (554 vs. 538 OTUs). (B) α-diversity analysis showed no significant differences in the Simpson’s, Shannon’s, Sobs, abundance-based coverage estimator (ACE), Chao, or other observed species indexes between the two groups ( P > 0.05). (C) Microbial community diversity in the FHRAC-positive patients was significantly lower than that of the FHRAC-negative patients ( P < 0.05). (D) Twenty-seven microbial genera were detected. In FHRAC-positive patients, Bacteroides , Escherichia , Others, Faecalibacterium , Phascolarctobacterium , Prevotella , Lachnospiraceae incertae , Megamonas , Veillonella , and Megasphaera were the top genera, constituting 79% of the taxa. Escherichia , Others, Bacteroides , Megamonas , Prevotella , Faecalibacterium , Gemmiger , Ruminococcus , Megasphaera and Citrobacter were the top genera in the FHRAC-negative patients (78%). (E) The Wilcoxon test was used to compare the significantly different top 10 genera. Lachnospiraceae_incertae_sedis was higher in FHRAC-positive patients than in FHRAC-negative patients. (F) linear discriminant analysis (LDA) effect-size (LEfSe) analysis showed that FHRAC-negative patient samples contained mainly Epsilonproteobacteria at the class level, Campylobacterales and Actinomycetales at the order level and Campylobacteraceae at the family level. (G) Lachnospiraceae_incertae_sedis , Anaerostipes , Actinomycetales , Desulfovibrio , Barnesiella , Lachnospira , Campylobacteraceae , Epsilonproteobacteria , Campylobacterales , Campylobacter , and Klebsiella were differentially expressed among the taxonomic levels. (H) We detected 157 metabolites or pathways at the KEGG level 3. The Wilcoxon test was used to compare the significantly different features. The differentially expressed microbiota were closely related to four differential metabolic pathways, including glycosaminoglycan degradation. (I) The Spearman’s correlation coefficient showed an association between clinical manifestations and microbial taxa. Glycosaminoglycan degradation was positively correlated with albumin (ALB). Lachnospiraceae_incertae_sedis was positively correlated with IgG. *P<0.05.

Article Snippet: Spearman’s correlation coefficient analysis of the species revealed important patterns and relationships among dominant species ( BGI-Shenzhen, Shenzhen, China).

Techniques: