6 0 dna microarray platform (Thermo Fisher)
98
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Thermo Fisher
6 0 dna microarray platform
6 0 Dna Microarray Platform, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 98/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dna+microarray+platform/Deoxyribonucleic+acid/pm41440833-69-11-15
Average 98 stars, based on 1 article reviews
6 0 Dna Microarray Platform, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 98/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dna+microarray+platform/Deoxyribonucleic+acid/pm41440833-69-11-15
Average 98 stars, based on 1 article reviews
6 0 dna microarray platform - by Bioz Stars,
2026-11
98/100 stars
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Expressing:Article Title: Imaging-Based Surrogate Markers of Transcriptome Subclasses and Signatures in Hepatocellular Carcinoma: Preliminary Results Article Snippet: .. We also observed positive associations between each of clinicopathologic stages/pathologic grade/size with multiple gene signatures ( , , Supplementary Table 2 , Supplementary Table 3 ). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Representative expression pattern of vascular invasion signature genes shown with imaging and histology features for the samples profiled with the Article Title: Integrated analysis, transcriptome-lipidome, reveals the effects of INO- level ( INO2 and INO4 ) on lipid metabolism in yeast Article Snippet: We used the Affymetrix DNA microarray platform to measure the expression level of all genes and access the global effect caused by the INO -level under nutrient-limited conditions (C-limited and N-lim). .. We used the Article Title: Mapping the interaction of Snf1 with TORC1 in Saccharomyces cerevisiae Article Snippet: .. We used the Imaging:Article Title: Imaging-Based Surrogate Markers of Transcriptome Subclasses and Signatures in Hepatocellular Carcinoma: Preliminary Results Article Snippet: .. We also observed positive associations between each of clinicopathologic stages/pathologic grade/size with multiple gene signatures ( , , Supplementary Table 2 , Supplementary Table 3 ). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Representative expression pattern of vascular invasion signature genes shown with imaging and histology features for the samples profiled with the Microarray:Article Title: Imaging-Based Surrogate Markers of Transcriptome Subclasses and Signatures in Hepatocellular Carcinoma: Preliminary Results Article Snippet: .. We also observed positive associations between each of clinicopathologic stages/pathologic grade/size with multiple gene signatures ( , , Supplementary Table 2 , Supplementary Table 3 ). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Representative expression pattern of vascular invasion signature genes shown with imaging and histology features for the samples profiled with the Article Title: Integrated analysis, transcriptome-lipidome, reveals the effects of INO- level ( INO2 and INO4 ) on lipid metabolism in yeast Article Snippet: We used the Affymetrix DNA microarray platform to measure the expression level of all genes and access the global effect caused by the INO -level under nutrient-limited conditions (C-limited and N-lim). .. We used the Article Title: Statistical and Machine-Learning Analyses in Nutritional Genomics Studies Article Snippet: Zeevi D. et al., 2015 [ ] , Cohort study , N = 800 healthy, F (60%)–M (40%) 54% Overweight 22% Obese , Nutrition assessment: Dietary habits ( www.personalnutrition.org ) Biochemical analysis: Glucose was measured for 7 days using the iPro2 CGM with Enlite sensors Genomics: DNA extraction (microarray platform, Illumina) Microbiomics: 16S and whole metagenome sequencing from stool , Correlation and regression-based analyses PCoA) (Multivariate analysis-unsupervised ML) , Lower postprandial responses are related to alterations Proteobacteria and Enterobacteriaceae based on the ML algorithm.. .. Takahashi S et al., 2014 [ ] , Case-control Study , Mice (C57BL/6J) 5 groups ( n = 8–9), (9 weeks) Caffeine (2 g coffee powder/140 mL) -Normal diet group = 10% fat -High-fat diet group = 60% fat -Caffeinated coffee group = A high-fat diet + 2% caffeine -Decaffeinated coffee group = A high-fat diet + 2% decaffeinated coffee. -Green unroasted coffee group = A high-fat diet + 2% unroasted caffeinated coffee , Biochemical measurement: Hepatic lipid composition (the Folch method (Folch, Lees, & Sloane, 1957)), plasma liver enzymes (The transaminase C II-test WAKO kit) Genomics: ( Article Title: Machine learning models based on immunological genes to predict the response to neoadjuvant therapy in breast cancer patients Article Snippet: .. 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Mouse Assay:Article Title: Statistical and Machine-Learning Analyses in Nutritional Genomics Studies Article Snippet: Zeevi D. et al., 2015 [ ] , Cohort study , N = 800 healthy, F (60%)–M (40%) 54% Overweight 22% Obese , Nutrition assessment: Dietary habits ( www.personalnutrition.org ) Biochemical analysis: Glucose was measured for 7 days using the iPro2 CGM with Enlite sensors Genomics: DNA extraction (microarray platform, Illumina) Microbiomics: 16S and whole metagenome sequencing from stool , Correlation and regression-based analyses PCoA) (Multivariate analysis-unsupervised ML) , Lower postprandial responses are related to alterations Proteobacteria and Enterobacteriaceae based on the ML algorithm.. .. Takahashi S et al., 2014 [ ] , Case-control Study , Mice (C57BL/6J) 5 groups ( n = 8–9), (9 weeks) Caffeine (2 g coffee powder/140 mL) -Normal diet group = 10% fat -High-fat diet group = 60% fat -Caffeinated coffee group = A high-fat diet + 2% caffeine -Decaffeinated coffee group = A high-fat diet + 2% decaffeinated coffee. -Green unroasted coffee group = A high-fat diet + 2% unroasted caffeinated coffee , Biochemical measurement: Hepatic lipid composition (the Folch method (Folch, Lees, & Sloane, 1957)), plasma liver enzymes (The transaminase C II-test WAKO kit) Genomics: ( Clinical Proteomics:Article Title: Statistical and Machine-Learning Analyses in Nutritional Genomics Studies Article Snippet: Zeevi D. et al., 2015 [ ] , Cohort study , N = 800 healthy, F (60%)–M (40%) 54% Overweight 22% Obese , Nutrition assessment: Dietary habits ( www.personalnutrition.org ) Biochemical analysis: Glucose was measured for 7 days using the iPro2 CGM with Enlite sensors Genomics: DNA extraction (microarray platform, Illumina) Microbiomics: 16S and whole metagenome sequencing from stool , Correlation and regression-based analyses PCoA) (Multivariate analysis-unsupervised ML) , Lower postprandial responses are related to alterations Proteobacteria and Enterobacteriaceae based on the ML algorithm.. .. Takahashi S et al., 2014 [ ] , Case-control Study , Mice (C57BL/6J) 5 groups ( n = 8–9), (9 weeks) Caffeine (2 g coffee powder/140 mL) -Normal diet group = 10% fat -High-fat diet group = 60% fat -Caffeinated coffee group = A high-fat diet + 2% caffeine -Decaffeinated coffee group = A high-fat diet + 2% decaffeinated coffee. -Green unroasted coffee group = A high-fat diet + 2% unroasted caffeinated coffee , Biochemical measurement: Hepatic lipid composition (the Folch method (Folch, Lees, & Sloane, 1957)), plasma liver enzymes (The transaminase C II-test WAKO kit) Genomics: ( Electrophoresis:Article Title: Statistical and Machine-Learning Analyses in Nutritional Genomics Studies Article Snippet: Zeevi D. et al., 2015 [ ] , Cohort study , N = 800 healthy, F (60%)–M (40%) 54% Overweight 22% Obese , Nutrition assessment: Dietary habits ( www.personalnutrition.org ) Biochemical analysis: Glucose was measured for 7 days using the iPro2 CGM with Enlite sensors Genomics: DNA extraction (microarray platform, Illumina) Microbiomics: 16S and whole metagenome sequencing from stool , Correlation and regression-based analyses PCoA) (Multivariate analysis-unsupervised ML) , Lower postprandial responses are related to alterations Proteobacteria and Enterobacteriaceae based on the ML algorithm.. .. Takahashi S et al., 2014 [ ] , Case-control Study , Mice (C57BL/6J) 5 groups ( n = 8–9), (9 weeks) Caffeine (2 g coffee powder/140 mL) -Normal diet group = 10% fat -High-fat diet group = 60% fat -Caffeinated coffee group = A high-fat diet + 2% caffeine -Decaffeinated coffee group = A high-fat diet + 2% decaffeinated coffee. -Green unroasted coffee group = A high-fat diet + 2% unroasted caffeinated coffee , Biochemical measurement: Hepatic lipid composition (the Folch method (Folch, Lees, & Sloane, 1957)), plasma liver enzymes (The transaminase C II-test WAKO kit) Genomics: ( Mass Spectrometry:Article Title: Statistical and Machine-Learning Analyses in Nutritional Genomics Studies Article Snippet: Zeevi D. et al., 2015 [ ] , Cohort study , N = 800 healthy, F (60%)–M (40%) 54% Overweight 22% Obese , Nutrition assessment: Dietary habits ( www.personalnutrition.org ) Biochemical analysis: Glucose was measured for 7 days using the iPro2 CGM with Enlite sensors Genomics: DNA extraction (microarray platform, Illumina) Microbiomics: 16S and whole metagenome sequencing from stool , Correlation and regression-based analyses PCoA) (Multivariate analysis-unsupervised ML) , Lower postprandial responses are related to alterations Proteobacteria and Enterobacteriaceae based on the ML algorithm.. .. Takahashi S et al., 2014 [ ] , Case-control Study , Mice (C57BL/6J) 5 groups ( n = 8–9), (9 weeks) Caffeine (2 g coffee powder/140 mL) -Normal diet group = 10% fat -High-fat diet group = 60% fat -Caffeinated coffee group = A high-fat diet + 2% caffeine -Decaffeinated coffee group = A high-fat diet + 2% decaffeinated coffee. -Green unroasted coffee group = A high-fat diet + 2% unroasted caffeinated coffee , Biochemical measurement: Hepatic lipid composition (the Folch method (Folch, Lees, & Sloane, 1957)), plasma liver enzymes (The transaminase C II-test WAKO kit) Genomics: ( HMT Assay:Article Title: Statistical and Machine-Learning Analyses in Nutritional Genomics Studies Article Snippet: Zeevi D. et al., 2015 [ ] , Cohort study , N = 800 healthy, F (60%)–M (40%) 54% Overweight 22% Obese , Nutrition assessment: Dietary habits ( www.personalnutrition.org ) Biochemical analysis: Glucose was measured for 7 days using the iPro2 CGM with Enlite sensors Genomics: DNA extraction (microarray platform, Illumina) Microbiomics: 16S and whole metagenome sequencing from stool , Correlation and regression-based analyses PCoA) (Multivariate analysis-unsupervised ML) , Lower postprandial responses are related to alterations Proteobacteria and Enterobacteriaceae based on the ML algorithm.. .. Takahashi S et al., 2014 [ ] , Case-control Study , Mice (C57BL/6J) 5 groups ( n = 8–9), (9 weeks) Caffeine (2 g coffee powder/140 mL) -Normal diet group = 10% fat -High-fat diet group = 60% fat -Caffeinated coffee group = A high-fat diet + 2% caffeine -Decaffeinated coffee group = A high-fat diet + 2% decaffeinated coffee. -Green unroasted coffee group = A high-fat diet + 2% unroasted caffeinated coffee , Biochemical measurement: Hepatic lipid composition (the Folch method (Folch, Lees, & Sloane, 1957)), plasma liver enzymes (The transaminase C II-test WAKO kit) Genomics: ( Hybridization:Article Title: A non-parametric meta-analysis approach for combining independent microarray datasets: application using two microarray datasets pertaining to chronic allograft nephropathy Article Snippet: .. Hu et al. [ ] developed a gene hybridization quality measure for Gene Expression:Article Title: The G Protein-Coupled Bile Acid Receptor TGR5 (Gpbar1) Modulates Endothelin-1 Signaling in Liver Article Snippet: RNA from liver samples of the above-mentioned mice or of LSECs was extracted using the Maxwell 16 LEV simply RNA Tissue Kit (Promega, Madison, WI, USA) and the Maxwell 16 Instrument (Promega, Madison, WI, USA), according to the manufacturer’s instructions. .. A Fluorescence In Situ Hybridization:Article Title: The multiple sclerosis gut microbiota: A systematic review. Article Snippet: Background: To systematically review and synthesize the literature on the multiple sclerosis (MS) gut microbiota composition as compared to persons without MS. Methods: We systematically searched MEDLINE, EMBASE, and Web of Science databases for relevant published articles (2008–2018).. Results: Of 415 articles identified ten fulfilled criteria.. All studies used a case-control design, six sourced participants from the US, two Germany, one Italy, and one Japan. |