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the statistical test that DESeq2 use
deseq2 statistics
updated 8.7 years ago by ★ 7.9k • written 8.7 years ago by • 0
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edgeR: How is FDR calculated for logFC? (False Discovery Rate)
edgeR bioconductor fdr statistics differential gene expression
8.9 years ago jol.espinoz ▴ 40
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Job: PhD Positions in Computational Cancer Research
computational biology image analysis cancer genomics statistics Job
8.9 years ago Bernd Fischer ▴ 550
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Job: Seeking computational biologists with expertise in RNA-Seq and/or statistics at Immuneering Corporation, Cambridge MA and New York NY
rna-seq CNS Neurodegeneration statistics computational biology Job
9.0 years ago mmartin ▴ 20
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Job: Postdoc in Biostatistics/Bioinformatics at UNC Charlotte, NC, USA
genetics/genomics omics data statistics development R Job
9.2 years ago • updated 9.1 years ago Luo Weijun ★ 1.6k
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News: Workshop on Statistical Challenges in Single-Cell Biology, April 30 to May 5, 2017, at Villa Monte Verita, Ascona
workshop statistics single-cell News
9.2 years ago Wolfgang Huber ★ 13k
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Job: Bioinformatics Programmer (Statistician) at University of California at San Francisco
R bioinformatician job Perl Python statistics Job
9.5 years ago • updated 9.2 years ago clif.duhn • 0
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10 multiple comparisons in DESeq2
deseq2 rnaseq statistics
updated 9.4 years ago by 43k • written 9.4 years ago by • 0
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RNAseq outlier is a critical sample
rnaseq outlier statistics batch effect
updated 9.4 years ago by 53k • written 9.4 years ago by • 0
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limma for gene expression analysis with big and unbalanced sample size
limma microarray statistics
updated 18 months ago by • 0 • written 9.4 years ago by • 0
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Differing topTable() results with Limma with and without specifying coefficient
limma microarray statistics
updated 9.5 years ago by 53k • written 9.5 years ago by • 0
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Confidence intervals on edgeR logFC
edgeR statistics confidence interval
updated 9.6 years ago by • 0 • written 11.1 years ago by ▴ 40
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Compute test-score statistical significance using control-scores from shuffled population
statistics hypotheses R
9.6 years ago Bade ▴ 310
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Job: Computational Biologist (Genome Statistical Analyst) position in CRUK Manchester Institute, UK
job bioinformatics ngs genomics statistics Job
9.7 years ago Hui Sun Leong ▴ 10
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how DESeq calculates p-value ?
deseq differential gene expression statistics p-value
updated 4.6 years ago by ▴ 20 • written 9.7 years ago by ▴ 30
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XCMS for targeted metabolomic/lipidomics/proteomics
xcms metabolomics lipidomics statistics
9.8 years ago Titan • 0
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Comparing sets of differentially expressed genes
deseq2 rnaseq statistics
10.1 years ago sunkid • 0
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Job: Come apply for our Epidemiologist, AncestryHealth role
genomics genetics design statistics scientist Job
10.3 years ago careers • 0
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Job: Postdoctoral Research Fellow in Bioinformatics - Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), Mainz, Germany
bioinformatician job rnaseq statistics systemsbiology Job
10.5 years ago Federico Marini ▴ 180
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Job: Full position as Statistician at ETH Zurich in Personalized Medicine Consultancy/Data Analysis
statistics consultancy personalized medicine Job
11.0 years ago Daniel Stekhoven ▴ 10
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News: Workshop Statistical Methods for Post Genomic Data in Munich, February 12-13, 2015
statistics workshop news News
11.1 years ago gagneur ▴ 10
71 results • Page 2 of 2
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Answer: Using DESeq2 for age prediction by ATpoint ★ 5.0k
The package has no such inbuilt function but you are free to use the vst (or any normalized) counts to train a regression model or classifi…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by James W. MacDonald 68k
Aaron already answered your question. If you have an HDF5 file, it will be read in as a `TENxMatrix` object, which isn't actually read in -…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by dan.gatti • 0
Very strange. We have the same package versions. I tried adding the mtx.class, type, and delayed arguments, but it's still making the coun…
Comment: DESeq2 for candidate gene analysis by piffelpaff ▴ 20
thank you so much for answering Dr. Love!
Answer: DESeq2 for candidate gene analysis by Michael Love 43k
Your plan 1 is reasonable. Run DESeq2 on the whole dataset to obtain size factors and moderated dispersion estimates and then extract the u…
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A: Multi-level experiments in Limma
Answer: Should voomWithQualityWeights still be used when the sample-specific weights var
Answer: DESeq2 for candidate gene analysis
DESeq2 for candidate gene analysis
Answer: DESeq2 for candidate gene analysis
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