aalto-ics-kepaco / comboFM
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
- Amino Acid Embedding Representation as Machine Learning Features☆20Updated 6 years ago
- Predicting mechanism of action of novelcompounds using compound structure andtranscriptomic signature co-embedding☆14Updated last year
- Pipeline for assessing the tractability of potential targets (starting from Gene IDs)☆23Updated 2 months ago
- A Data-Driven Approach to Predicting Successes and Failures of Clinical Trials☆18Updated 5 years ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- Implementation of ReSimNet for drug response similarity prediction☆40Updated last year
- Disease pathways in the human interactome☆23Updated 7 years ago
- CapsNet for Protein Post-translational Modification site prediction.☆25Updated 5 years ago
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆51Updated 11 months ago
- ☆13Updated 5 years ago
- ☆10Updated 3 years ago
- ☆24Updated last year
- Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors☆40Updated 11 months ago
- StarGazer is a tool designed for rapidly assessing drug repositioning opportunities. It combines multi-source, multi-omics data with a no…☆35Updated last year
- A mini-framework to build and train neural networks for molecular biology.☆10Updated 7 years ago
- ☆23Updated 2 years ago
- [IJMS 2022] DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and Transformer☆10Updated 2 years ago
- Methods for mapping genomic data onto 3D protein structure.☆28Updated 2 years ago
- Model-based Analysis of Protein Degradability☆10Updated 3 years ago
- Code for the analyses in the human reference interactome paper.☆27Updated 2 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆71Updated last year
- Fast, parallelized implementation of Principal Component Analysis with constant memory consumption for large data sets.☆10Updated 3 years ago
- A deep learning model to predict anticancer peptides.☆22Updated 5 years ago
- ☆23Updated last year
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆17Updated 2 years ago
- ☆25Updated 5 years ago
- A high throughput automated drug discovery pipeline.☆29Updated 7 years ago
- a framework for predicting global protein-protein interaction networks from dynamic mass spec data☆24Updated last year
- Supplementary data for the ACME algorithm☆23Updated 2 years ago
- Website for visualizing predicted drug side-effects using L1000 data (http://maayanlab.net/SEP-L1000/)☆10Updated 3 years ago