医学 AI - arXivDaily 专题

2510.25807 2025-10-31 q-bio.GN cs.LG 60%

Discovering Interpretable Biological Concepts in Single-cell RNA-seq Foundation Models

Charlotte Claye, Pierre Marschall, Wassila Ouerdane, Céline Hudelot, Julien Duquesne

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

2410.21004 2025-10-31 cs.CV cs.CG q-bio.QM 60%

A Continuous and Interpretable Morphometric for Robust Quantification of Dynamic Biological Shapes

Roua Rouatbi, Juan-Esteban Suarez Cardona, Alba Villaronga-Luque, Jesse V. Veenvliet, Ivo F. Sbalzarini

机构 * Dresden University of Technology, Faculty of Computer Science（德累斯顿技术大学计算机科学学院）； Max Planck Institute of Molecular Cell Biology and Genetics（马克斯·普朗克分子细胞生物学与遗传学研究所）； Center for Systems Biology Dresden（德累斯顿系统生物学中心）； Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden/Leipzig（德累斯顿/莱比锡可扩展数据分析与人工智能中心（ScaDS.AI））； Cluster of Excellence Physics of Life, Technische Universität Dresden, Germany（生命物理卓越集群，德累斯顿技术大学，德国）； Ludwig-Maximilians-Universität München（慕尼黑路德维希-马克西米利安大学）； Munich Center for Machine Learning (MCML)（慕尼黑机器学习中心（MCML））

专题命中生物医学文本：biomedical(abstract)；分类 cs.CV、q-bio

2412.17883 2025-10-31 cs.LG cs.AI 57%

In Defence of Post-hoc Explainability

Nick Oh

机构 * socius labs（socius实验室）

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG

Comments v1 presented at the Interpretable AI: Past, Present, and Future Workshop at NeurIPS 2024 (non-archival)

1. 生物医学文本 3 篇

Discovering Interpretable Biological Concepts in Single-cell RNA-seq Foundation Models

A Continuous and Interpretable Morphometric for Robust Quantification of Dynamic Biological Shapes

In Defence of Post-hoc Explainability