ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2412.13478
  4. Cited By
Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction

Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction

18 December 2024
Sepideh Maleki
Jan-Christian Huetter
Kangway V Chuang
Gabriele Scalia
Tommaso Biancalani
Tommaso Biancalani
    AI4CE
ArXivPDFHTML

Papers citing "Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction"

1 / 1 papers shown
Title
Towards generalizable single-cell perturbation modeling via the Conditional Monge Gap
Towards generalizable single-cell perturbation modeling via the Conditional Monge Gap
Alice Driessen
Benedek Harsanyi
Marianna Rapsomaniki
Jannis Born
AI4CE
29
0
0
11 Apr 2025
1