Michael P. Menden
Molecular Biology · 2009–2020
A researcher in the Science corpus: 8 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 119 citations into it
- Computational Theory and Mathematics — 34 citations into it
- Statistics and Probability — 7 citations into it
Whom Michael P. Menden trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard D. Gonzalez
- Chun Wei Yap
- Trevor J. Hastie
- Hui Zou
- Andy Liaw
- Martin A. Riedmiller
- Anne-Claire Haury
- Mathew Garnett
- Jing Wang
- Matthew C. Wiener
Who trusts Michael P. Menden overall
Papers from Michael P. Menden's perspective
Ordered by how strongly the researchers Michael P. Menden trusts endorse each paper. Same corpus, a different order for every researcher.
- Addendum: Regularization and variable selection via the elastic net
- Random Forests
- The Cancer Cell Line Encyclopedia enables predictive modeling of anticancer drug sensitivity (Nature)
- Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
- Systematic variation in gene expression patterns in human cancer cell lines (Nature Genetics)
- The cancer genome (Nature)
- Pan-cancer patterns of somatic copy-number alteration (Nature Genetics)
- Discovery and saturation analysis of cancer genes across 21 tumor types (Nature)
- The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease
- Harnessing Connectivity in a Large-Scale Small-Molecule Sensitivity Dataset (Cancer Discovery)
Their papers
- The IntAct molecular interaction database in 2010 (2009) — 1,235 citations
- Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen (2019) — 299 citations
- Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties (2012) — 475 citations
- A Landscape of Pharmacogenomic Interactions in Cancer (2016) — 1,831 citations
- A community computational challenge to predict the activity of pairs of compounds (2014) — 306 citations
- A community effort to assess and improve drug sensitivity prediction algorithms (2014) — 728 citations
- Concise Polygenic Models for Cancer-Specific Identification of Drug-Sensitive Tumors from Their Multi-Omics Profiles (2020) — 19 citations
- Defining subpopulations of differential drug response to reveal novel target populations (2019) — 19 citations