2024 Machine Learning in Computational Biology (MLCB) Conference—Day 1

(5:21:43)

2024 Machine Learning in Computational Biology (MLCB) Conference—Day 2

(5:45:51)

MLCB 2024: Panel - Foundation models for biology, when are they useful?

(51:23)

MLCB 2024: Sergey Ovchinnikov (MIT) Decomposing protein and genomic language models to understand...

(56:9)

MLCB 2024: Akshat Singhal (UC San Diego) A deep learning model of tumor cell architecture elucidates

(19:2)

MLCB 2024: Jian Zhou (UT Southwestern) Sequence basis of transcription initiation in the human...

(47:59)

MLCB 2024: Ava Amini (MIT) Bridging biophysics \u0026 AI for generative protein design

(44:31)

MLCB 2024: Introduction–Sara Mostafavi (Paul G. Allen School of Computer Science \u0026 Engineering)

(5:24)

MLCB 2024: Thomas Pierrot (InstaDeep) The Nucleotide Transformer: building and evaluating robust...

(19:5)

MLCB 2024: Spotlights 1

(25:5)

MLCB 2024: Philip Fradkin (Vector Institute) IsoCLR: Contrastive learning for RNA foundation models

(20:33)

MLCB 2024: Nilah Ioannidis (UC Berkeley) Personal genome interpretation with sequence-to-function...

(51:35)

MLCB 2024: Romain Lopez (Genentech) Cross-modality Matching and Prediction of Perturbation Responses

(25:26)

MLCB 2024: Shiron Drusinsky (UC San Francisco) Fine-tuning on Personal Genomes Improves Expression..

(19:53)

MLCB 2024: Haowen Zhao (Imperial College London) Computational design of target-specific linear...

(10:10)

MLCB 2024: Maria Chikina (University of Pittsburgh) Towards biophysically interpretable sequence...

(51:41)

MLCB 2024: Spotlights 2

(19:34)