mims-harvard / COMPASS
Generalizable AI predicts immunotherapy outcomes across cancers and treatments
☆19Updated this week
Alternatives and similar repositories for COMPASS
Users that are interested in COMPASS are comparing it to the libraries listed below
Sorting:
- a framework for predicting global protein-protein interaction networks from dynamic mass spec data☆24Updated last year
- Knowledge-primed neural networks☆36Updated 2 years ago
- Functional Embedding of Gene Signatures☆43Updated last year
- TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…☆25Updated 2 years ago
- ☆25Updated 4 months ago
- scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism☆14Updated 6 months ago
- ☆31Updated last week
- ☆27Updated last month
- Python package to load and query ARCHS4 data☆22Updated 2 months ago
- Computational Optimization of DNA Activity (CODA)☆57Updated last month
- A deep-learning framework for multi-omics integration☆26Updated last year
- The official code implementation for Chromoformer in PyTorch. (Lee et al., Nature Communications. 2022)☆35Updated last year
- Code and example of the D-SPIN framework☆22Updated last week
- Polygraph evaluates and compares groups of nucleic acid sequences based on their sequence and functional content for effective design of …☆29Updated last month
- ☆18Updated last year
- CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer☆17Updated 2 weeks ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆32Updated 2 weeks ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆48Updated 3 months ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- ☆35Updated this week
- Scripts and datasets to reproduce the experiment of the paper "Exploring non-coding RNA functions with deep learning tools"☆15Updated 4 years ago
- A Python toolkit for setting up benchmarking dataset using biomedical networks☆22Updated last week
- Comparing performance across many methodological dimensions among tools that predict RNA after TF knockdowns and overexpression.☆19Updated last month
- CLUMPS adapted to post-translational modifications.☆9Updated last year
- STAPLER (Shared TCR And Peptide Language bidirectional Encoder Representations from transformers) is a language model that uses a joint T…☆26Updated 2 weeks ago
- Diffusion model for gene regulatory network inference.☆18Updated last month
- MaveDB API☆13Updated this week
- ☆38Updated last year
- ☆20Updated 2 months ago
- This is the official codebase for methylGPT : a foundation model for the DNA methylome.☆33Updated this week