Sophie J. Weiss
Molecular Biology · 2014–2017
A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 97 citations into it
- Ecology — 32 citations into it
- Artificial Intelligence — 13 citations into it
- Nature and Landscape Conservation — 7 citations into it
Whom Sophie J. Weiss trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Catherine A. Lozupone
- John C. Gower
- Paul J. McMurdie
- Yoav Benjamini
- Rob Knight
- Mark D. Robinson
- C. Lauber
- Jonathan Friedman
- Marti J. Anderson
- J. Gregory Caporaso
Who trusts Sophie J. Weiss overall
- G. Gloor
- M. Layeghifard
- Huijuan Zhou
- Jean M. Macklaim
- Gianmaria Califano
- Lucie A. Malard
- Jacob T. Nearing
Papers from Sophie J. Weiss's perspective
Ordered by how strongly the researchers Sophie J. Weiss 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
- UniFrac: a New Phylogenetic Method for Comparing Microbial Communities (Applied and Environmental Microbiology)
- A core gut microbiome in obese and lean twins (Nature)
- A comparison of methods for differential expression analysis of RNA-seq data (BMC Bioinformatics)
- Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities (Applied and Environmental Microbiology)
- Moving pictures of the human microbiome (Genome Biology)
- Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible (PLoS Comput. Biol.)
- QIIME allows analysis of high-throughput community sequencing data (Nature Methods)
- Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments (BMC Bioinformatics)
- Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample (Proceedings of the National Academy of Sciences of the United States of America)
Their papers
- Normalization and microbial differential abundance strategies depend upon data characteristics (2017) — 1,740 citations
- Longitudinal analysis of microbial interaction between humans and the indoor environment (2014) — 866 citations
- Correlation detection strategies in microbial data sets vary widely in sensitivity and precision (2016) — 697 citations
- Effects of library size variance, sparsity, and compositionality on the analysis of microbiome data (2015) — 95 citations