MedChaabane / DeepBind-with-PyTorch
CNN architecture for predicting DNA binding sites for Transcription Factors
☆50Updated 6 years ago
Alternatives and similar repositories for DeepBind-with-PyTorch:
Users that are interested in DeepBind-with-PyTorch are comparing it to the libraries listed below
- Computational Optimization of DNA Activity (CODA)☆55Updated last month
- Detailed explanation on how to setup database for NCBI IgBlast executable, and using it in Python☆28Updated 2 years ago
- Knowledge-primed neural networks☆35Updated last year
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆77Updated 2 years ago
- ScanFold is an RNA sequence scanning pipeline which attempts to identify potentially functional RNA secondary structures. This is done by…☆17Updated 2 years ago
- NetTCR-2.0. Sequence-based prediction of peptide-TCR binding☆33Updated 2 years ago
- ☆26Updated 3 weeks ago
- immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.☆66Updated this week
- C.Origami, a prediction and screening framework for cell type-specific 3D chromatin structure.☆69Updated 7 months ago
- Large language modeling applied to T-cell receptor (TCR) sequences.☆49Updated 2 years ago
- ☆72Updated last year
- NeuronMotif: deciphering cis-regulatory codes by layerwise demixing of deep neural networks☆15Updated last year
- Code for 5UTR project☆24Updated last year
- A neural network framework for predicting the Hi-C chromatin interactions from megabase scale DNA sequence☆33Updated 9 months ago
- ☆18Updated this week
- BigMHC predicts MHC-I (neo)epitope presentation and immunogenicity☆50Updated 9 months ago
- A modular framework for multimodal cross-cell-type transcriptional regulation models☆57Updated last week
- ☆24Updated 4 years ago
- A Deep Learning based Efficacy Prediction System for drug discovery☆63Updated 2 years ago
- ☆18Updated 11 months ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- ☆9Updated 10 months ago
- Modeling of human 5′ UTRs enables the design of new sequences for target levels of translation and 5′ UTR variant prediction.☆44Updated 5 years ago
- python tools for TCR:peptide-MHC modeling and analysis☆69Updated 10 months ago
- Predicting dynamic cellular protein-RNA interactions using deep learning and in vivo RNA structure☆60Updated 11 months ago
- ☆59Updated 2 years ago
- The official code implementation for Chromoformer in PyTorch. (Lee et al., Nature Communications. 2022)☆34Updated last year
- A repository for neural representational learning of RNA secondary structures☆31Updated 5 years ago
- ☆27Updated last month
- APA Regression Net - Predict and Engineer Alternative Polyadenylation☆39Updated 3 years ago