Jean M. Macklaim
Molecular Biology · 2013–2017
A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Molecular Biology — 52 citations into it; #15,641 of 17,773 by trust here, #9,476 by citations
- Artificial Intelligence — 16 citations into it
- Ecology — 7 citations into it
- Mechanics of Materials — 7 citations into it
- Geophysics — 5 citations into it
Whom Jean M. Macklaim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark D. Robinson
- Paul J. McMurdie
- Andrew D. Fernandes
- Svitlana Tyekucheva
- G. Gloor
- Juan José Egozcue
- Jonathan Friedman
- J. Aitchison
- Susan P. Holmes
- J. Palarea‐Albaladejo
Who trusts Jean M. Macklaim overall
Papers from Jean M. Macklaim's perspective
Ordered by how strongly the researchers Jean M. Macklaim 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)
- A comparison of methods for differential expression analysis of RNA-seq data (BMC Bioinformatics)
- Small-sample estimation of negative binomial dispersion, with applications to SAGE data. (Biostatistics)
- Inferring Correlation Networks from Genomic Survey Data (PLoS Comput. Biol.)
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
- Integrating diverse genomic data using gene sets (Genome Biology)
- A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
- Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities (Applied and Environmental Microbiology)
- Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible (PLoS Comput. Biol.)
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
- Microbiome Datasets Are Compositional: And This Is Not Optional (2017) — 2,474 citations
- ANOVA-Like Differential Expression (ALDEx) Analysis for Mixed Population RNA-Seq (2013) — 758 citations