MLCB

Keyphrases

Publications

2023

You Wu, Omid Bazgir, Yongju Lee, Tommaso Biancalani, James Lu, Ehsan Hajiramezanali
Multitask-Guided Self-Supervised Tabular Learning for Patient-Specific Survival Prediction. MLCB (2023)
Antoine Szatkownik, Cyril Furtlehner, Guillaume Charpiat, Burak Yelmen, Flora Jay
Towards creating longer genetic sequences with GANs: Generation in principal component space. MLCB (2023)
Jennifer Yu, Zhenqin Wu, Aaron T. Mayer, Alexandro Trevino, James Zou
A Multi-Granularity Approach to Similarity Search in Multiplexed Immunofluorescence Images. MLCB (2023)
Ethar Alzaid, Muhammad Dawood, Fayyaz Minhas
A Transductive Approach to Survival Ranking for Cancer Risk Stratification. MLCB (2023)
Zachary S. Sims, Young Hwan Chang
A Masked Image Modeling Approach to CyCIF Panel Reduction and Marker Imputation. MLCB (2023)
Andrea Nathansen, Kevin Klein, Bernhard Y. Renard, Melania Nowicka, Jakub M. Bartoszewicz
Evaluating Tuning Strategies for Sequence Generation with Protein Language Models. MLCB (2023)
Juneki Hong, Dezhong Deng, David A. Hendrix
Improving transformer secondary structure predictions with secondary structure "fixing" task. MLCB (2023)
Chenwei Zhang, Jordan Lovrod, Boyan Beronov, Khanh Dao Duc, Anne Condon
ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings. MLCB (2023)
Ayesha Bajwa, Ruchir Rastogi, Pooja Kathail, Richard W. Shuai, Nilah Ioannidis
Characterizing uncertainty in predictions of genomic sequence-to-activity models. MLCB (2023)
Eyes S. Robson, Nilah Ioannidis
GUANinE v1.0: Benchmark Datasets for Genomic AI Sequence-to-Function Models. MLCB (2023)
Kevin E. Wu, Kathryn Yost, Bence Daniel, Julia A. Belk, Yu Xia, Takeshi Egawa, Ansuman Satpathy, Howard Chang, James Zou
TCR-BERT: learning the grammar of T-cell receptors for flexible antigen-binding analyses. MLCB (2023)
Kaspar Märtens, Christopher Yau
Disentangling shared and private latent factors in multimodal Variational Autoencoders. MLCB (2023)
Xinming Tu, Jan-Christian Hütter, Zitong Jerry Wang, Takamasa Kudo, Aviv Regev, Romain Lopez
A Supervised Contrastive Framework for Learning Disentangled Representations of Cellular Perturbation Data. MLCB (2023)
Renming Liu, Arjun Krishnan
Open Biomedical Network Benchmark: A Python Toolkit for Benchmarking Datasets with Biomedical Networks. MLCB (2023)
Arushi G. K. Majha, Ian Stott, Andreas Bender
On Modelability and Generalizability: Are Machine Learning Models for Drug Synergy Exploiting Artefacts and Biases in Available Data? MLCB (2023)
Neda Shokraneh Kenari, Megan Andrews, Max W. Libbrecht
Model-based imputation enables improved resolution for identifying differential chromatin contacts in single-cell Hi-C data. MLCB (2023)
Gian Marco Visani, William Galvin, Michael N. Pun, Armita Nourmohammad
H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing. MLCB (2023)
Keren Isaev, David A. Knowles
Investigating RNA splicing as a source of cellular diversity using a binomial mixture model. MLCB (2023)

volume 240, 2023

Machine Learning in Computational Biology, November 30 - December 1, 2023, Seattle, WA, USA. MLCB 240 (2023)

2022

volume 200, 2022

Machine Learning in Computational Biology, 21-22 November 2022, Online MLCB 200 (2022)

volume 165, 2021

Machine Learning in Computational Biology Meeting, MLCB 2021, online, November 22-23, 2021. MLCB 165 (2021)