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
Sorting:
- Amino Acid Embedding Representation as Machine Learning Features☆19Updated 6 years ago
- A mini-framework to build and train neural networks for molecular biology.☆10Updated 7 years ago
- A Bio2BEL package for DrugBank (https://www.drugbank.ca)☆9Updated 4 years ago
- ☆23Updated 2 years ago
- ☆13Updated 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
- Website for visualizing predicted drug side-effects using L1000 data (http://maayanlab.net/SEP-L1000/)☆10Updated 3 years ago
- a protein descriptor for site prediction☆16Updated 5 years ago
- Predicting mechanism of action of novelcompounds using compound structure andtranscriptomic signature co-embedding☆14Updated last year
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆51Updated 11 months ago
- Major Histocompatibility Complex (MHC) Binding Affinity Prediction☆10Updated 4 years ago
- A Data-Driven Approach to Predicting Successes and Failures of Clinical Trials☆18Updated 5 years 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
- ☆25Updated 5 years ago
- Code for ICML 2023 paper "Reprogramming Pretrained Language Models for Antibody Sequence Infilling"☆23Updated last year
- Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors☆40Updated 11 months ago
- Multi-Channel Deep Chemogenomic Modeling of Receptor-Ligand Binding Affinity Prediction for Drug Discovery☆27Updated 4 years ago
- Biological Network Integration using Convolutions☆62Updated last year
- A Python package for drug discovery by analyzing causal paths on multiscale networks☆26Updated 10 months ago
- Prediction of Protein-Small molecule binding affinities☆16Updated 7 months ago
- Pipeline for assessing the tractability of potential targets (starting from Gene IDs)☆24Updated 3 months ago
- Epistatic Net is an algorithm which allows for spectral regularization of deep neural networks to predict biological fitness functions (e…☆18Updated 3 years ago
- A novel approach to pose selection in protein-ligand docking based on graph theory.☆21Updated 8 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- Code for the analyses in the human reference interactome paper.☆27Updated 2 years ago
- Fast, parallelized implementation of Principal Component Analysis with constant memory consumption for large data sets.☆10Updated 3 years ago
- Predict drug response with graph convolutional network.☆9Updated 4 years ago
- ☆11Updated 5 years ago
- code for Gogleva et al manuscript☆45Updated 2 years ago