Andrew D. Fernandes
Molecular Biology · 2005–2014
A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 43 citations into it; #9,842 of 17,773 by trust here, #10,506 by citations
- Artificial Intelligence — 11 citations into it
- Ecology — 7 citations into it
- Geophysics — 5 citations into it
- Mechanics of Materials — 5 citations into it
Whom Andrew D. Fernandes trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark D. Robinson
- Simon Anders
- Philip M. Dixon
- Juan José Egozcue
- Jonathan Friedman
- Gordon K. Smyth
- Yoav Benjamini
- Weizhong Li
- I. Holmes
- Charlotte Soneson
Who trusts Andrew D. Fernandes overall
- G. Gloor
- Jean M. Macklaim
- Xingang Zhou
- Huijuan Zhou
- Vera Pawlowsky-Glahn
- Juan José Egozcue
- Sophie J. Weiss
- Jie Liu
Papers from Andrew D. Fernandes's perspective
Ordered by how strongly the researchers Andrew D. Fernandes 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
- RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. (Genome Research)
- Small-sample estimation of negative binomial dispersion, with applications to SAGE data. (Biostatistics)
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
- A comparison of methods for differential expression analysis of RNA-seq data (BMC Bioinformatics)
- Integrating diverse genomic data using gene sets (Genome Biology)
- Spontaneous mapping of number and space in adults and young children (Cognition)
- Statistical Design and Analysis of RNA Sequencing Data (Genetics)
- DEGseq: an R package for identifying differentially expressed genes from RNA-seq data (Bioinform.)
- A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
Their papers
- Unifying the analysis of high-throughput sequencing datasets: characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis (2014) — 1,153 citations
- Solving the protein sequence metric problem. (2005) — 460 citations
- ANOVA-Like Differential Expression (ALDEx) Analysis for Mixed Population RNA-Seq (2013) — 758 citations