Vincent J. Carey
Molecular Biology · 2003–2019
A researcher in the Science corpus: 9 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 109 citations into it
- Artificial Intelligence — 18 citations into it
- Statistics and Probability — 8 citations into it; #7,369 of 12,932 by trust here, #5,481 by citations
- Computer Networks and Communications — 6 citations into it
Whom Vincent J. Carey trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- K. Liang
- Huaiyu Zhu
- Wei Pan
- Yuhai Wu
- Scott Zeger
- Heng Li
- Yoav Freund
- Burkhard Rost
- Friedrich Leisch
- Michael F. Lawrence
Who trusts Vincent J. Carey overall
- Geert Molenberghs
- Gordon K. Smyth
- Christoph Sommer
- Aaron T. L. Lun
- Mufti Mahmud
- Wolfgang Huber
- Simon Anders
- Jianguo Xia
- Guangchuang Yu
- Davis J. McCarthy
Papers from Vincent J. Carey's perspective
Ordered by how strongly the researchers Vincent J. Carey trusts endorse each paper. Same corpus, a different order for every researcher.
- Visualizing Data using t-SNE
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
- Normalization of RNA-seq data using factor analysis of control genes or samples (Nature Biotechnology)
- Software for Computing and Annotating Genomic Ranges (PLoS Comput. Biol.)
- The perceptron: a probabilistic model for information storage and organization in the brain.
- Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Bayesian approach to single-cell differential expression analysis (Nature Methods)
- Introduction to algorithms
- MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data (Genome Biology)
Their papers
- Software for Computing and Annotating Genomic Ranges (2013) — 4,046 citations
- Machine Learning and Its Applications to Biology (2007) — 635 citations
- Unbiased Estimating Equations From Working Correlation Models for Irregularly Timed Repeated Measures (2004) — 61 citations
- Working correlation structure misspecification, estimation and covariate design: Implications for generalised estimating equations performance (2003) — 259 citations
- VariantAnnotation: a Bioconductor package for exploration and annotation of genetic variants (2014) — 342 citations
- Criteria for Working–Correlation–Structure Selection in GEE (2007) — 59 citations
- Orchestrating single-cell analysis with Bioconductor (2019) — 840 citations
- Orchestrating high-throughput genomic analysis with Bioconductor (2015) — 3,336 citations
- Bioconductor: open software development for computational biology and bioinformatics (2004) — 12,915 citations