Russell D. Wolfinger
Molecular Biology · 2001–2021
A researcher in the Science corpus: 11 papers; trusts 14 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 79 citations into it; #9,589 of 17,773 by trust here, #5,350 by citations
- Statistics and Probability — 16 citations into it; #10,822 of 12,932 by trust here, #9,714 by citations
- Artificial Intelligence — 10 citations into it
- Evaluation & Benchmarks — 6 citations into it
Whom Russell D. Wolfinger trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hui Zou
- Arthur U. Asuncion
- M. Kerr
- Gavin C. Cawley
- Trevor J. Hastie
- Robert Tibshirani
- R. Caruana
- Leo Breiman
- Nicola L. C. Talbot
- Thomas G. Dietterich
Who trusts Russell D. Wolfinger overall
- Gordon K. Smyth
- Y. H. Yang
- Gary A. Churchill
- Xiangqin Cui
- Xiaofei Wang
- Juan Pariasca-Tanaka
- A. C. Fierro
- Soo-Hyung Kim
- Joëlle Michaud
- Terence P. Speed
Papers from Russell D. Wolfinger's perspective
Ordered by how strongly the researchers Russell D. Wolfinger trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating the Dimension of a Model
- The Adaptive Lasso and Its Oracle Properties
- Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling (Nature)
- Regression Shrinkage and Selection via the Lasso
- A new look at the statistical model identification
- Bagging Predictors
- Analysis of Variance for Gene Expression Microarray Data (J. Comput. Biol.)
- Functional discovery via a compendium of expression profiles. (Cell)
- Ensemble selection from libraries of models
- The Elements of Statistical Learning
Their papers
- The contributions of sex, genotype and age to transcriptional variance in Drosophila melanogaster (2001) — 661 citations
- A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control consortium (2014) — 938 citations
- Assessing Gene Significance from cDNA Microarray Expression Data via Mixed Models (2001) — 1,213 citations
- Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen (2019) — 299 citations
- The Analysis of Repeated Measurements with Mixed-Model Adjusted F Tests (2004) — 134 citations
- The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models (2010) — 549 citations
- Reporting guidelines for Human Microbiome Research: the STORMS checklist (2021) — 401 citations
- SAS for Mixed Models (2018) — 714 citations
- Predicting human olfactory perception from chemical features of odor molecules (2017) — 307 citations
- Stacked Ensemble Models for Improved Prediction Accuracy (2017)
- SAS for Mixed Models, Second Edition (2006) — 593 citations