Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–2 of 2 results
Advanced filters: Author: Jenille Tan Clear advanced filters

  • Transcription factors (TFs) represent an emerging class of therapeutic targets in oncology. Here, the authors develop Epiregulon, a computational method that constructs gene regulatory networks from ChIP-seq, ATAC-seq and RNA-seq data for accurate prediction of TF activity at the single-cell level, thereby facilitating the discovery of therapeutics targeting TFs.

    • Tomasz Włodarczyk
    • Aaron Lun
    • Xiaosai Yao
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-19

  • Large-scale analyses of the drug sensitivity of cancer cell lines have been previously reported to yield conflicting conclusions; this Analysis uses independently generated data to demonstrate that consistency can be achieved if key laboratory and data analysis practices are considered when future studies are undertaken.

    • Peter M. Haverty
    • Eva Lin
    • Richard Bourgon
    Research
    Nature
    Volume: 533, P: 333-337