Karen N. Conneely

Molecular Biology · 2007–2016

A researcher in the Science corpus: 6 papers; trusts 14 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 69 citations into it; #11,764 of 17,773 by trust here, #4,409 by citations
• Genetics — 33 citations into it; #4,205 of 6,854 by trust here, #986 by citations
• Statistics and Probability — 8 citations into it; #6,147 of 12,932 by trust here, #9,233 by citations

Whom Karen N. Conneely trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Gordon K. Smyth
2. Mark D. Robinson
3. Davis J. McCarthy
4. Dale R. Nyholt
5. Thomas J. Hardcastle
6. Hanbo Chen
7. Kasper D. Hansen
8. Alan Genz
9. Ryan Lister
10. Alexander Meissner

Who trusts Karen N. Conneely overall

1. Bogdan Pasaniuc
2. Anthony J. Bishara
3. Xiaoyi Gao
4. David Lamparter
5. Alkes L Price
6. James B. Hittner
7. Thorsten Dickhaus
8. Hao Wu
9. Yongseok Park
10. Lewis C. Becker

Papers from Karen N. Conneely's perspective

Ordered by how strongly the researchers Karen N. Conneely trusts endorse each paper. Same corpus, a different order for every researcher.

1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
2. Human DNA methylomes at base resolution show widespread epigenomic differences
3. From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
4. Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
5. baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data (BMC Bioinformatics)
6. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
7. Bioconductor: open software development for computational biology and bioinformatics (Genome Biology)
8. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation (Nucleic Acids Research)
9. Highly integrated single-base resolution maps of the epigenome in Arabidopsis. (Cell)
10. Integrating diverse genomic data using gene sets (Genome Biology)

Their papers

• A Genome-Wide Association Study of Type 2 Diabetes in Finns Detects Multiple Susceptibility Variants (2007) — 2,870 citations
• The transcriptional landscape of age in human peripheral blood (2015) — 654 citations
• Epigenetic Signatures of Cigarette Smoking (2016) — 798 citations
• So many correlated tests, so little time! Rapid adjustment of P values for multiple correlated tests. (2007) — 477 citations
• A Bayesian hierarchical model to detect differentially methylated loci from single nucleotide resolution sequencing data (2014) — 501 citations
• Detection of differentially methylated regions from whole-genome bisulfite sequencing data without replicates (2015) — 341 citations