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    GraphPad Software Inc pearson’s correlation function in graphpad prism
    Pearson’s Correlation Function In Graphpad Prism, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/pearson+correlation+function/pearson+correlation+graphpad+prism/pm40513842-109-6-10
    Average 90 stars, based on 1 article reviews
    pearson’s correlation function in graphpad prism - by Bioz Stars, 2026-10
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    Article Title: Effects of dietary Bacillus subtilis 14823 on growth performance, gut barrier integrity and inflammatory response of broilers raised in a stressful tropical environment
    Article Snippet: Pearson’s correlation analysis (GraphPad Prism version 9.5.0, La Jolla, CA, USA) was used to assess relationships between and among body weight, intestinal health parameters, blood biochemistry parameters, and mRNA expressions of tight junction proteins and inflammatory cytokines.

    Article Title: Simultaneous determination of three tyrosine kinase inhibitors and three triazoles in human plasma by LC-MS/MS: applications to therapeutic drug monitoring and drug-drug interaction studies.
    Article Snippet: Tyrosine kinase inhibitors (TKIs) and triazole antifungals are the first-line drugs for treating chronic myeloid leukemia (CML) and fungal infections, respectively, but both suffer from large exposure differences and narrow therapeutic windows.. Moreover, these two types of drugs are commonly used together in CML patients with fungal infections.. Multiple studies and guidelines have suggested the importance of therapeutic drug monitoring (TDM) of TKIs and triazoles.

    Article Title: Ultrastructural analysis of lamellar bodies in type II alveolar epithelial cells in the human lung.
    Article Snippet: 9 1 BioNanomaterials, Adolphe Merkle Institute, University of Fribourg, Fribourg, Switzerland 10 2 Section for Stereology and Microscopy, Core Centre for Molecular Morphology, Department of 11 Clinical Medicine, Aarhus University; Department of Pathology, Aarhus University Hospital, 12 Aarhus, Denmark 13 3 Microscopic Anatomy and Structural Biology, Institute of Anatomy, University of Bern, Bern, 14 Switzerland 15 4 Institute of Functional and Applied Anatomy, Hannover Medical School, Hannover, Germany 16 5 Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), 17 Member of the German Center for Lung Research (DZL), Hannover, Germany 18 6 Institute of Functional Anatomy, Charité Universitätsmedizin Berlin, Berlin, Germany 19 7 German Center for Lung Research (DZL), Berlin, Germany 20 21 22 Correspondence: 23 Prof. Dr. Matthias Ochs 24 Institute of Functional Anatomy 25 Charité Universitätsmedizin Berlin 26 Philippstr.. 11 27 10115 Berlin 28 Germany 29 Email: matthias.ochs@charite.de 30

    Article Title: In utero exposure to estrogenic bisphenol analogues increases mammary tissue stiffness.
    Article Snippet: In utero exposures to estrogenic endocrine disrupting compounds (EDCs) can increase breast cancer risk in adulthood.. It has previously been shown that the estrogenic plasticizer bisphenol A (BPA) alters development of the mammary gland and increases both mammary gland stiffness and tumor susceptibility in rodent models following in utero exposure.. Because of its endocrine disrupting properties, BPA has been substituted with structural analogues with varying abilities to activate estrogen receptor alpha (ERα).

    Article Title: Effects of dietary Bacillus subtilis 14823 on growth performance, gut barrier integrity and inflammatory response of broilers raised in a stressful tropical environment
    Article Snippet: Pearson's correlation analysis (GraphPad Prism version 9.5.0, La Jolla, CA, USA) was used to assess relationships between and among body weight, intestinal health parameters, blood biochemistry parameters, and mRNA expressions of tight junction proteins and inflammatory cytokines.

    Article Title: Rise in plasma bile acids following hypoabsorptive bariatric surgeries predicts beneficial metabolic and homeostatic outcomes in male rats.
    Article Snippet: This study was designed to investigate the effects of three hypoabsorptive bariatric surgeries, namely Roux-en-Y gastric bypass (RYGB), biliopancreatic diversion with duodenal switch (BPD-DS), and single anastomosis duodeno-ileal bypass with sleeve gastrectomy (SADI-S), on bile acids (BAs) and to assess whether the changes in BA plasma levels were associated with the metabolic and homeostatic effects of the surgeries.. Male Wistar rats, either fed a high(HF) or a low-fat (LF) diet, were divided into seven groups: RYGB HF, BPD-DS HF, SADI-S HF, sleeve-gastrectomy (SG) HF, sham-operated (Sham) HF, Sham LF, and Sham HF-pair-weighed to BPD-DS (Sham HF-PW).. The rats were treated for 56 days.

    Gene Expression:

    Article Title: Unraveling the long-term gastrointestinal impact of perinatal perfluorobutane sulfonate exposure on rat offspring: Intestinal barrier dysfunction and Th17/Treg imbalance.
    Article Snippet: • Perinatal PFBS exposure leads to a disruption of tight junctions in rat colon.. • PFBS markedly increases Ror-γt expression and decreases Foxp3 expression in

    Expressing:

    Article Title: Transcriptomic and functional effects from a chemical mixture based on the exposure profile in Baltic Sea salmon, on metabolic and immune functions in zebrafish embryo.
    Article Snippet: .. Statistical significance between expression of gene-sets induced by chemical mixtures or single compounds exposure was determined using Pearson correlation (GraphPad Prism version 9.0.0 for Mac OS X, GraphPad Software, San Diego, California USA). ..



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    a Venn diagrams depicting the percent of the total pseudopopulation in each region that was selective for the sample location around the poke initiating each task phase. Overlapping circles in the Venn diagram represent the percent of neurons that share retrospective sample location selectivity around either two or all three task phase pokes. b Example GLM-derived beta-weight histograms from significant sample location-encoding neurons in the GLM showing how most neurons in the MOs remain selective for the same port across sample and delay pokes (top), but neurons in the vmPFC switch initial sample location selectivity from sample to delay (bottom). c <t>Pearson</t> beta-weight correlations quantifying the similarity in location selectivity between pokes initiating one task phase, to pokes initiating another one. MOs location selectivity is similar from sample to delay pokes, but destabilizes over the course of the task. dmPFC remains the most stable across time. vmPFC shifts location selectivity from the sample to delay pokes, but then stabilizes later in the task. Asterisks represent an r value that is significantly different from zero, while Orth ( Orth ogonal) represents an r value that is not significantly different from zero. The reason for the non-significant r value from the vmPFC correlation in the Delay Poke vs Late Delay condition is because of the much smaller number of selective neurons in vmPFC during this time. Numbers above each bar indicate the count of significantly selective neurons in each region used for the correlation.
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    a Venn diagrams depicting the percent of the total pseudopopulation in each region that was selective for the sample location around the poke initiating each task phase. Overlapping circles in the Venn diagram represent the percent of neurons that share retrospective sample location selectivity around either two or all three task phase pokes. b Example GLM-derived beta-weight histograms from significant sample location-encoding neurons in the GLM showing how most neurons in the MOs remain selective for the same port across sample and delay pokes (top), but neurons in the vmPFC switch initial sample location selectivity from sample to delay (bottom). c <t>Pearson</t> beta-weight correlations quantifying the similarity in location selectivity between pokes initiating one task phase, to pokes initiating another one. MOs location selectivity is similar from sample to delay pokes, but destabilizes over the course of the task. dmPFC remains the most stable across time. vmPFC shifts location selectivity from the sample to delay pokes, but then stabilizes later in the task. Asterisks represent an r value that is significantly different from zero, while Orth ( Orth ogonal) represents an r value that is not significantly different from zero. The reason for the non-significant r value from the vmPFC correlation in the Delay Poke vs Late Delay condition is because of the much smaller number of selective neurons in vmPFC during this time. Numbers above each bar indicate the count of significantly selective neurons in each region used for the correlation.
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    MathWorks Inc pearson’s linear correlation function
    a Venn diagrams depicting the percent of the total pseudopopulation in each region that was selective for the sample location around the poke initiating each task phase. Overlapping circles in the Venn diagram represent the percent of neurons that share retrospective sample location selectivity around either two or all three task phase pokes. b Example GLM-derived beta-weight histograms from significant sample location-encoding neurons in the GLM showing how most neurons in the MOs remain selective for the same port across sample and delay pokes (top), but neurons in the vmPFC switch initial sample location selectivity from sample to delay (bottom). c <t>Pearson</t> beta-weight correlations quantifying the similarity in location selectivity between pokes initiating one task phase, to pokes initiating another one. MOs location selectivity is similar from sample to delay pokes, but destabilizes over the course of the task. dmPFC remains the most stable across time. vmPFC shifts location selectivity from the sample to delay pokes, but then stabilizes later in the task. Asterisks represent an r value that is significantly different from zero, while Orth ( Orth ogonal) represents an r value that is not significantly different from zero. The reason for the non-significant r value from the vmPFC correlation in the Delay Poke vs Late Delay condition is because of the much smaller number of selective neurons in vmPFC during this time. Numbers above each bar indicate the count of significantly selective neurons in each region used for the correlation.
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    Image Search Results


    a Venn diagrams depicting the percent of the total pseudopopulation in each region that was selective for the sample location around the poke initiating each task phase. Overlapping circles in the Venn diagram represent the percent of neurons that share retrospective sample location selectivity around either two or all three task phase pokes. b Example GLM-derived beta-weight histograms from significant sample location-encoding neurons in the GLM showing how most neurons in the MOs remain selective for the same port across sample and delay pokes (top), but neurons in the vmPFC switch initial sample location selectivity from sample to delay (bottom). c Pearson beta-weight correlations quantifying the similarity in location selectivity between pokes initiating one task phase, to pokes initiating another one. MOs location selectivity is similar from sample to delay pokes, but destabilizes over the course of the task. dmPFC remains the most stable across time. vmPFC shifts location selectivity from the sample to delay pokes, but then stabilizes later in the task. Asterisks represent an r value that is significantly different from zero, while Orth ( Orth ogonal) represents an r value that is not significantly different from zero. The reason for the non-significant r value from the vmPFC correlation in the Delay Poke vs Late Delay condition is because of the much smaller number of selective neurons in vmPFC during this time. Numbers above each bar indicate the count of significantly selective neurons in each region used for the correlation.

    Journal: Communications Biology

    Article Title: Divergent subregional information processing in mouse prefrontal cortex during working memory

    doi: 10.1038/s42003-024-06926-8

    Figure Lengend Snippet: a Venn diagrams depicting the percent of the total pseudopopulation in each region that was selective for the sample location around the poke initiating each task phase. Overlapping circles in the Venn diagram represent the percent of neurons that share retrospective sample location selectivity around either two or all three task phase pokes. b Example GLM-derived beta-weight histograms from significant sample location-encoding neurons in the GLM showing how most neurons in the MOs remain selective for the same port across sample and delay pokes (top), but neurons in the vmPFC switch initial sample location selectivity from sample to delay (bottom). c Pearson beta-weight correlations quantifying the similarity in location selectivity between pokes initiating one task phase, to pokes initiating another one. MOs location selectivity is similar from sample to delay pokes, but destabilizes over the course of the task. dmPFC remains the most stable across time. vmPFC shifts location selectivity from the sample to delay pokes, but then stabilizes later in the task. Asterisks represent an r value that is significantly different from zero, while Orth ( Orth ogonal) represents an r value that is not significantly different from zero. The reason for the non-significant r value from the vmPFC correlation in the Delay Poke vs Late Delay condition is because of the much smaller number of selective neurons in vmPFC during this time. Numbers above each bar indicate the count of significantly selective neurons in each region used for the correlation.

    Article Snippet: We quantified how these beta-weights changed over time using Pearson correlations ( r , MATLAB function corr ) comparing the significant beta-weight population vector at one time point to the beta-weight population of those same neurons at a future time point.

    Techniques: Derivative Assay