Abstract is missing.
- A Masked Image Modeling Approach to CyCIF Panel Reduction and Marker ImputationZachary S. Sims, Young-Hwan Chang. 1-9 [doi]
- Multitask-Guided Self-Supervised Tabular Learning for Patient-Specific Survival PredictionYou Wu, Omid Bazgir, Yongju Lee, Tommaso Biancalani, James Lu, Ehsan Hajiramezanali. 10-22 [doi]
- Open Biomedical Network Benchmark: A Python Toolkit for Benchmarking Datasets with Biomedical NetworksRenming Liu, Arjun Krishnan. 23-59 [doi]
- Disentangling shared and private latent factors in multimodal Variational AutoencodersKaspar Märtens, Christopher Yau. 60-75 [doi]
- Evaluating Tuning Strategies for Sequence Generation with Protein Language ModelsAndrea Nathansen, Kevin Klein 0004, Bernhard Y. Renard, Melania Nowicka, Jakub M. Bartoszewicz. 76-89 [doi]
- A Supervised Contrastive Framework for Learning Disentangled Representations of Cellular Perturbation DataXinming Tu, Jan-Christian Hütter, Zitong Jerry Wang, Takamasa Kudo, Aviv Regev, Romain Lopez. 90-100 [doi]
- A Transductive Approach to Survival Ranking for Cancer Risk StratificationEthar Alzaid, Muhammad Dawood, Fayyaz Minhas. 101-109 [doi]
- Towards creating longer genetic sequences with GANs: Generation in principal component spaceAntoine Szatkownik, Cyril Furtlehner, Guillaume Charpiat, Burak Yelmen, Flora Jay. 110-122 [doi]
- On Modelability and Generalizability: Are Machine Learning Models for Drug Synergy Exploiting Artefacts and Biases in Available Data?Arushi G. K. Majha, Ian Stott, Andreas Bender 0002. 123-134 [doi]
- A Multi-Granularity Approach to Similarity Search in Multiplexed Immunofluorescence ImagesJennifer Yu, Zhenqin Wu, Aaron T. Mayer, Alexandro Trevino, James Zou 0001. 135-147 [doi]
- ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddingsChenwei Zhang, Jordan Lovrod, Boyan Beronov, Khanh Dao Duc, Anne Condon. 148-162 [doi]
- Investigating RNA splicing as a source of cellular diversity using a binomial mixture modelKeren Isaev, David A. Knowles. 163-175 [doi]
- Model-based imputation enables improved resolution for identifying differential chromatin contacts in single-cell Hi-C dataNeda Shokraneh Kenari, Megan Andrews, Max W. Libbrecht. 176-193 [doi]
- TCR-BERT: learning the grammar of T-cell receptors for flexible antigen-binding analysesKevin E. Wu, Kathryn Yost, Bence Daniel, Julia A. Belk, Yu Xia, Takeshi Egawa, Ansuman Satpathy, Howard Chang, James Zou 0001. 194-229 [doi]
- H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain PackingGian Marco Visani, William Galvin, Michael N. Pun, Armita Nourmohammad. 230-249 [doi]
- GUANinE v1.0: Benchmark Datasets for Genomic AI Sequence-to-Function ModelsEyes S. Robson, Nilah Ioannidis. 250-266 [doi]
- Improving transformer secondary structure predictions with secondary structure "fixing" taskJuneki Hong, Dezhong Deng, David A. Hendrix. 267-278 [doi]
- Characterizing uncertainty in predictions of genomic sequence-to-activity modelsAyesha Bajwa, Ruchir Rastogi, Pooja Kathail, Richard W. Shuai, Nilah Ioannidis. 279-297 [doi]