Seed-effect modeling improves the consistency of genome-wide loss-of-function screens and identifies synthetic lethal vulnerabilities in cancer cells

Lignende værker

• Improved detection of differentially represented DNA barcodes for high‐throughput clonal phenomics
  af: Akimov, Yevhen, et al.
  Udgivet: (2020)
• Identification of selective cytotoxic and synthetic lethal drug responses in triple negative breast cancer cells
  af: Gautam, Prson, et al.
  Udgivet: (2016)
• A normalized drug response metric improves accuracy and consistency of anticancer drug sensitivity quantification in cell-based screening
  af: Gupta, Abhishekh, et al.
  Udgivet: (2020)
• Phenotypic screening combined with machine learning for efficient identification of breast cancer-selective therapeutic targets
  af: Gautam, Prson, et al.
  Udgivet: (2019)
• Multi‐modal meta‐analysis of cancer cell line omics profiles identifies ECHDC1 as a novel breast tumor suppressor
  af: Jaiswal, Alok, et al.
  Udgivet: (2021)