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Poster Session
in
Workshop: ICML 2022 Workshop on Computational Biology

Poster session #1 / Lunch break

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Abstract:
  1. Generative power of a protein language model trained on multiple sequence alignments
  2. BayesTME: A reference-free Bayesian method for end-to-end analysis of spatial transcriptomic data
  3. RITA: a Study on Scaling Up Generative Protein Sequence Models
  4. Learning Batch-Invariant Representations with Domain Adaptation in Large Scale Proteomics Data
  5. COEM: Cross-Modal Embedding for MetaCell Identification
  6. EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
  7. A Deep Learning Framework for Estimating Cell-specific Kinetic Rates of RNA Velocity
  8. Learning to rank metabolites across datasets
  9. RTfold: RNA secondary structure prediction using deep learning with domain inductive bias
  10. 7-UP: generating in silico CODEX from a small set of immunofluorescence markers
  11. Mass Enhanced Node Embeddings for Drug Repurposing
  12. Confounded Domain Adaptation: A Framework for Biological Data Batch Correction
  13. Trust-region Bayesian optimisation with developability constraints enables sample efficient, high-affinity antibody design
  14. Reinforcement learning to optimize fungal Biosynthetic Gene Clusters
  15. How Graph Neural Networks Enhance Convolutional Neural Networks Towards Mining the Topological Structures from Histology
  16. N-ACT: An Interpretable Deep Learning Model for Automatic Cell Type and Salient Gene Identification
  17. Emerging Patterns in the Continuum Representation of Protein-Lipid Fingerprints
  18. Capturing Similarity among Simulated Patches of Human Cell Membrane
  19. Identifying Orientation-specific Lipid-protein Fingerprints using Deep Learning
  20. Protein language models trained on multiple sequence alignments learn phylogenetic relationships
  21. Inferring cell-specific causal regulatory networks from drift and diffusion
  22. High Performance of Gradient Boosting in Binding Affinity Prediction
  23. Zero-Shot Prediction of Drug Combination Activity for High-Throughput Screens
  24. Antibody design by optimization of affinity and naturalness using language models
  25. Scalable Causal Structure Learning via Amortized Conditional Randomization Testing
  26. Identifying Spatial Biomarkers from Cellular Imaging Data

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