Jason F. Kreisberg

Cancer Cell · 2016–2020

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

Papers from Jason F. Kreisberg's perspective

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

1. Gene Ontology: tool for the unification of biology
2. A gene ontology inferred from molecular networks
3. Random Forests
4. A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
5. The Chemical Genomic Portrait of Yeast: Uncovering a Phenotype for All Genes (Science)
6. Quantitative analysis of fitness and genetic interactions in yeast on a genome scale (Nature Methods)
7. Prioritizing candidate disease genes by network-based boosting of genome-wide association data.
8. Analysing biological pathways in genome-wide association studies
9. What is flux balance analysis? (Nature Biotechnology)
10. Differential network biology (Molecular Systems Biology)

Their papers

• Translation of Genotype to Phenotype by a Hierarchy of Cell Subsystems (2016) — 77 citations
• Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells (2020) — 421 citations