Official repository of the G2D-Diff
-
Updated
Dec 10, 2024 - Python
#
anticancer-drugs
Here are 3 public repositories matching this topic...
The F1Lab project aims to help students to hone their compbio skills by emulating an internship in biotech/pharma company. The goal is to determine the efficacy of anti cancer drugs by exploring single cell RNA-Seq data in cancer cell line.
-
Updated
Oct 15, 2024 - Jupyter Notebook
TAVNIT is a pipeline dedicated to the identification of targets for CAR-Ts and other anticancer drugs. The pipeline comprises cancer subtyping and subsequent extraction of cancer subtype signatures. It utilizes hierarchical clustering with constraints and an Ant Colony Optimization algorithm. Author: Dmitri Finaev (ORCID 0000-0003-3470-8501)
ant-colony-optimization transcriptomics cancer-subtypes cancer-signatures car-t hierarchical-clustering-with-constraints anticancer-drugs targeted-medicine surfaceome druggable-cancer-targets tavnit
-
Updated
Oct 17, 2024 - Python
Improve this page
Add a description, image, and links to the anticancer-drugs topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the anticancer-drugs topic, visit your repo's landing page and select "manage topics."