Kyle S. Sanchez

Cancer Cell · 2020

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Kyle S. Sanchez's perspective

Ordered by how strongly the researchers Kyle S. Sanchez trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gene Ontology: tool for the unification of biology
  2. A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
  3. The problem of synergism and antagonism of combined drugs.
  4. limma powers differential expression analyses for RNA-sequencing and microarray studies
  5. High-performance medicine: the convergence of human and artificial intelligence
  6. Drug interactions and the evolution of antibiotic resistance
  7. Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
  8. Inferring gene ontologies from pairwise similarity data
  9. High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response (Nature Medicine)
  10. Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells (Nucleic Acids Res.)

Their papers