ustchangyuanyang / PhosIDN
PhosIDN: an integrated deep neural network for improving protein phosphorylation site prediction by combining sequence and protein–protein interaction information
☆11Updated 4 years ago
Alternatives and similar repositories for PhosIDN
Users that are interested in PhosIDN are comparing it to the libraries listed below
Sorting:
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆54Updated 4 years ago
- A Deep Learning based Efficacy Prediction System for drug discovery☆66Updated 2 years ago
- ☆28Updated 3 months ago
- DeepTTC: a transformer-based model for predicting cancer drug response☆16Updated last year
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆80Updated 2 years ago
- ☆35Updated 2 years ago
- A VGAE-based model to infer transcription factor regulatory network☆26Updated 2 years ago
- A deep generative neural network based approach to impute drug response☆20Updated 3 years ago
- Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data☆53Updated 9 months ago
- Scripts and datasets to reproduce the experiment of the paper "Exploring non-coding RNA functions with deep learning tools"☆15Updated 4 years ago
- PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…☆47Updated 5 months ago
- NetTCR-2.0. Sequence-based prediction of peptide-TCR binding☆33Updated 3 years ago
- Multi-omics integration method using AE and GCN☆34Updated last year
- ☆11Updated 6 months ago
- ☆50Updated 5 months ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆32Updated 2 weeks ago
- Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity☆68Updated 2 years ago
- 📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential☆18Updated last month
- Core code for the paper "A deep learning model for drug response prediction from cancer genomic signatures and compound chemical structur…☆20Updated 3 years ago
- TLimmuno2: predicting MHC class II antigen immunogenicity through transfer learning☆9Updated last year
- TEIM: TCR-Epitope Interaction Modeling☆48Updated last year
- ☆42Updated last year
- Pipeline for de novo peptide sequencing (Novor, DeepNovo, SMSNet, PointNovo, Casanovo) and assembly with ALPS.☆39Updated last year
- ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction☆32Updated 3 years ago
- ☆11Updated last year
- Multi-omics biomarker discovery tool exploiting a gene-gene interaction network☆17Updated last year
- ☆17Updated 2 years ago
- ☆44Updated 3 years ago
- ☆21Updated 2 years ago
- Prediction of mRNA subcellular localization using deep recurrent neural networks☆15Updated 5 years ago