cancer_research
importedsoftware/cancer-research
Open-source cancer research using AI. Analyzing thousands of papers and running biochemical simulations to propose new approaches for targeting drug-resistant tumor cells. Free forever.…
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/ELares/cancer_research
- Documentation
- unknown
- Tags
- ai-for-science · cancer · cancer-research · ferroptosis · monte-carlo-simulation · oncology · open-science
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- openoncologycancer-research · open-science
Open-source precision oncology platform that ranks FDA-approved and repurposing drug candidates from a patient's variant profile using OncoKB, AlphaMissense, OpenTargets and ChEMBL evidence. Blinded…
- pymontecarlomonte-carlo-simulation
Python interface for Monte Carlo simulation programs
- snowmonte-carlo-simulation
A Python package describing Stochastic Nucleation of Water in vials
- CCSinglecellcancer · oncology
A project focused on using single-cell RNA sequencing data (scRNA-seq) and pseudo time to improve colon cancer diagnosis and outcomes.
- ComplexityCalccancer · oncology
VMAT modulation complexity index calculator based on https://github.com/victorgabr/ApertureComplexity
- phenOncoXcancer-research · oncology
Crossmapped phenotype ontologies for the oncology domain
- api.github.com/repos/ELares/cancer_researchretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-08-05, 5 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/61.json→ .entries["cancer-research"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.