Michael Schubert

Cell · 2016

A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Michael Schubert trusts overall

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

  1. Laurent Gautier
  2. Aravind Subramanian

Papers from Michael Schubert's perspective

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

  1. The Cancer Cell Line Encyclopedia enables predictive modeling of anticancer drug sensitivity (Nature)
  2. From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
  3. Systematic identification of genomic markers of drug sensitivity in cancer cells (Nature)
  4. Identification of the transforming EML4–ALK fusion gene in non-small-cell lung cancer (Nature)
  5. The cancer genome (Nature)
  6. OncodriveCLUST: exploiting the positional clustering of somatic mutations to identify cancer genes (Bioinform.)
  7. Pan-cancer patterns of somatic copy-number alteration (Nature Genetics)
  8. Cancer Genome Landscapes (Science)
  9. ArrayExpress—a public database of microarray experiments and gene expression profiles (Nucleic Acids Res.)
  10. Mutational landscape and significance across 12 major cancer types (Nature)

Their papers