Greg Finak
Molecular Biology · 2008–2015
A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 48 citations into it; #9,119 of 17,773 by trust here, #2,960 by citations
- Artificial Intelligence — 9 citations into it
- Genetics — 8 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Greg Finak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gordon K. Smyth
- Jeffrey T. Leek
- Yoav Benjamini
- Bo Li
- Diabetes-Ling Wu
- Robert Gentleman
- Mark D. Robinson
- Kurt Hornik
- John C. Platt
- Anil K. Jain
Who trusts Greg Finak overall
- Romain Lopez
- Valentine Svensson
- Rahul Satija
- Allon Wagner
- Davide Risso
- Malte D. Luecken
- Fabian J Theis
- Saket Kumar Choudhary
- Christoph Hafemeister
- Rhonda L. Bacher
Papers from Greg Finak's perspective
Ordered by how strongly the researchers Greg Finak trusts endorse each paper. Same corpus, a different order for every researcher.
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
- RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome (BMC Bioinformatics)
- Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
- Et al
- Normalization of RNA-seq data using factor analysis of control genes or samples (Nature Biotechnology)
- Gene Ontology: tool for the unification of biology
- Visualizing Data using t-SNE
- voom: precision weights unlock linear model analysis tools for RNA-seq read counts (Genome Biology)
- Bioconductor: open software development for computational biology and bioinformatics (Genome Biology)
Their papers
- MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data (2015) — 2,717 citations
- Data exploration, quality control and testing in single-cell qPCR-based gene expression experiments (2012) — 376 citations
- CRITICAL ASSESSMENT OF AUTOMATED FLOW CYTOMETRY DATA ANALYSIS TECHNIQUES (2013) — 629 citations
- Stromal gene expression predicts clinical outcome in breast cancer (2008) — 1,644 citations
- Identification and visualization of multidimensional antigen-specific T-cell populations in polychromatic cytometry data (2015) — 28 citations