IdoSpringer / ERGOLinks
ERGO is a deep learing based model for predicting TCR-peptide binding.
β18Updated 2 years ago
Alternatives and similar repositories for ERGO
Users that are interested in ERGO are comparing it to the libraries listed below
Sorting:
- π§ Deep generative models for TCR sequences π§β17Updated 3 years ago
- Amino acid embedding and Convolutional Neural Network for HLA Class I-peptide binding predictionβ26Updated 8 years ago
- Python package and command line tool for epitope predictionβ51Updated last year
- HLA-I ligand predictorβ42Updated 7 months ago
- Stochastic Sequence Propagation - A Keras Model for optimizing DNA, RNA and protein sequences based on a predictorβ49Updated 11 months ago
- Modeling of human 5β² UTRs enables the design of new sequences for target levels of translation and 5β² UTR variant prediction.β50Updated 6 years ago
- A sequence-based pan model for peptide-MHC II binding affinity prediction.β21Updated 3 years ago
- Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunityβ72Updated 2 years ago
- HLA-II ligand predictor.β44Updated 2 years ago
- Interpretation by Deep Generative Masking for Biological Sequencesβ37Updated 3 years ago
- VDJ assignment and antibody sequence annotation. Scalable from a single sequence to billions of sequences.β42Updated this week
- STAPLER (Shared TCR And Peptide Language bidirectional Encoder Representations from transformers) is a language model that uses a joint Tβ¦β28Updated 3 months ago
- β25Updated last year
- β17Updated 3 years ago
- A platform to do RNA scienceβ27Updated 4 years ago
- For MHC-I protein-peptide binding predictions: Deep Learning model with CNN and Snakemake workflowβ13Updated 6 years ago
- deep protein solubility predictionβ39Updated 6 years ago
- Convert PDB residues to their Uniprot equivalentsβ17Updated 5 years ago
- insilico Pathway Activation Network Decomposition Analysis (iPANDA) package. Owned by Insilico Medicine Inc. iPANDA is a pathway analysisβ¦β25Updated 8 years ago
- End-to-end deep learning toolkit for predicting protein binding sites and motifs.β45Updated 6 years ago
- Pipeline for de novo peptide sequencing (Novor, DeepNovo, SMSNet, PointNovo, Casanovo) and assembly with ALPS.β41Updated last year
- A deep learning approach for predicting high-confidence neoantigens by considering both the presentation possibilities of mutant peptidesβ¦β44Updated 2 years ago
- Detects hotspot regions for somatic mutations in 3D protein structuresβ3Updated last year
- Mutation effects predicted from sequence co-variationβ66Updated 7 years ago
- Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joβ¦β67Updated 2 years ago
- Methods for mapping genomic data onto 3D protein structure.β28Updated 3 years ago
- DeepMass is a suite of tools to enable mass spectrometry data analysis using modern machine learning techniques.β51Updated 3 years ago
- β38Updated last year
- a framework for predicting global protein-protein interaction networks from dynamic mass spec dataβ24Updated last year
- Machine learning workflows for analyzing high-throughput protein dataβ26Updated 8 years ago