Robert J. Carroll
Molecular Biology · 2011–2019
A researcher in the Science corpus: 9 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 70 citations into it
Whom Robert J. Carroll trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Joshua Charles Denny
- Hui Zou
- Alan R. Aronson
- Jerome H. Friedman
- Hua Xu
- Trevor J. Hastie
- Katherine P. Liao
- Abel N. Kho
- Chih-Jen Lin
Who trusts Robert J. Carroll overall
- Christopher Kotfila
- Joyce Ho
- Zexian Zeng
- Ozlem Uzuner
- Joshua Charles Denny
- Yejin Kim
- Thomas A. Lasko
- Jimeng Sun
- Joydeep Ghosh
- Katherine P. Liao
Papers from Robert J. Carroll's perspective
Ordered by how strongly the researchers Robert J. Carroll trusts endorse each paper. Same corpus, a different order for every researcher.
- The Adaptive Lasso and Its Oracle Properties
- R: A language and environment for statistical computing.
- The eMERGE Network: A consortium of biorepositories linked to electronic medical records data for conducting genomic studies (BMC Medical Genomics)
- Regularization Paths for Generalized Linear Models via Coordinate Descent
- Human genetic variation and its contribution to complex traits
- New IBD genetics: common pathways with other diseases (Gut)
- Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program
- Accuracy of Veterans Administration databases for a diagnosis of rheumatoid arthritis.
- Electronic medical records for discovery research in rheumatoid arthritis
- Meta-analysis of genome scans and replication identify CD6, IRF8 and TNFRSF1A as new multiple sclerosis susceptibility loci (Nature Genetics)
Their papers
- A gene-based association method for mapping traits using reference transcriptome data (2015) — 1,739 citations
- Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data (2013) — 986 citations
- A catalog of genetic loci associated with kidney function from analyses of a million individuals (2019) — 744 citations
- Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record (2017) — 336 citations
- R PheWAS: data analysis and plotting tools for phenome-wide association studies in the R environment (2014) — 440 citations
- Genetics of rheumatoid arthritis contributes to biology and drug discovery (2013) — 742 citations
- Applying active learning to high-throughput phenotyping algorithms for electronic health records data. (2013) — 115 citations
- Portability of an algorithm to identify rheumatoid arthritis in electronic health records (2012) — 230 citations
- Naïve Electronic Health Record phenotype identification for Rheumatoid arthritis. (2011) — 122 citations