AINewsnow

Reverse Item Response Theory for Sparsity-Robust Ranking in Fragmented Cancer Drug-Response Matrices

arXiv:2610.00002v1 Announce Type: new Abstract: We introduce reverse Item Response Theory (IRT) to pharmacogenomic drug-response analysis by treating cancer types as latent "subjects" with resistance ability and drugs as "items" with evasion difficulty. Applied to 242,036 drug sensitivity measureme…

Read the full story at arXiv cs.LG ↗

Timeline · 1 report

  1. 2026-10-02 04:00 · arXiv cs.LG
    Reverse Item Response Theory for Sparsity-Robust Ranking in Fragmented Cancer Drug-Response Matrices

More stories

  1. Bring near-Astra intelligence to everyday work with GPT-6.1 Sol on Amazon Bedrock — AWS Machine Learning Blog
  2. Gemini 4 Argon: our next era of frontier intelligence — Google Gemini Blog
  3. Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs — Allen Institute for AI (Ai2)
  4. Google Releases New Gemini Model With Guardrails Amid A.I. Safety Debate — New York Times Technology
  5. OpenAI scraps release of its latest AI model over safety concerns — France 24 — Artificial Intelligence
  6. Introducing GPT-6.1 Sol — OpenAI News
  7. Google tests its plan for AI data centers in space with Project Suncatcher — Scientific American
  8. OpenAI’s Dots Are Always-On AI Agents—and Its Answer to Meta’s Muse — Wired AI

Get the daily brief of stories like this at 6:30 every morning →