aalto-ics-kepaco / comboFMLinks
Machine learning framework for predicting the responses of drug combinations in pre-clinical studies, such as those based on cell lines or patient-derived cells.
☆26Updated 4 years ago
Alternatives and similar repositories for comboFM
Users that are interested in comboFM are comparing it to the libraries listed below
Sorting:
- Predicting mechanism of action of novelcompounds using compound structure andtranscriptomic signature co-embedding☆14Updated last year
- Fast, parallelized implementation of Principal Component Analysis with constant memory consumption for large data sets.☆10Updated 3 years ago
- ☆13Updated 5 years ago
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆52Updated 2 weeks ago
- Implements the blood brain barrier score described in: J. Med. Chem. 2019, 62, 21, 9824-9836 (https://doi.org/10.1021/acs.jmedchem.9b0122…☆14Updated 4 years ago
- A Data-Driven Approach to Predicting Successes and Failures of Clinical Trials☆18Updated 5 years ago
- For MHC-I protein-peptide binding predictions: Deep Learning model with CNN and Snakemake workflow☆13Updated 6 years ago
- Amino Acid Embedding Representation as Machine Learning Features☆19Updated 7 years ago
- Pipeline for assessing the tractability of potential targets (starting from Gene IDs)☆26Updated 6 months ago
- A deep learning model to predict anticancer peptides.☆23Updated 6 years ago
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆18Updated 3 years ago
- ☆12Updated 2 years ago
- a deep learning framework for essential protein prediction☆13Updated 2 years ago
- A Python package for drug discovery by analyzing causal paths on multiscale networks☆27Updated last year
- a deep learning tool for the classification of biological sequences☆18Updated last month
- Methods for mapping genomic data onto 3D protein structure.☆28Updated 3 years ago
- [IJMS 2022] DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and Transformer☆10Updated 2 years ago
- A high throughput automated drug discovery pipeline.☆29Updated 7 years ago
- ☆25Updated 5 years ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- Learning structural motif representations for efficient protein structure search☆19Updated 8 years ago
- a protein descriptor for site prediction☆16Updated 6 years ago
- ☆25Updated 3 years ago
- Deep learning protein-protein binding sites prediction☆20Updated 2 years ago
- Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions☆24Updated 2 years ago
- ☆18Updated last year
- EvoEF + evolutionary profile for ddG_bind prediction☆14Updated 2 years ago
- Information sharing portal about nCov/SARS/MERS for drug discovery☆38Updated 10 months ago
- fragbuilder is a tool to create, setup and analyze QM calculations on peptides.☆15Updated 10 years ago
- ☆17Updated 6 years ago