varnivey / ipandaLinks
insilico Pathway Activation Network Decomposition Analysis (iPANDA) package. Owned by Insilico Medicine Inc. iPANDA is a pathway analysis method that aids interpretation of large-scale gene expression data. The method introduced here includes coexpression analysis and gene importance estimation to robustly identify relevant pathways and biomarke…
☆29Updated 8 years ago
Alternatives and similar repositories for ipanda
Users that are interested in ipanda are comparing it to the libraries listed below
Sorting:
- Knowledge-primed neural networks☆38Updated 2 years ago
- Amino acid embedding and Convolutional Neural Network for HLA Class I-peptide binding prediction☆26Updated 8 years ago
- A 3-Dimensional View of Human Metabolism and Disease☆31Updated 7 years ago
- Code for the analyses in the human reference interactome paper.☆28Updated 3 years ago
- Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data☆32Updated 6 months ago
- Machine learning workflows for analyzing high-throughput protein data☆26Updated 9 years ago
- A deep learning approach for predicting high-confidence neoantigens by considering both the presentation possibilities of mutant peptides…☆44Updated 2 years ago
- Standard set of data-loaders for training and making predictions for DNA sequence-based models.☆83Updated last year
- ☆33Updated 3 years ago
- This is the public repository for the EPIC tool.☆19Updated 3 years ago
- Python interface to running command-line and web-based MHC binding predictors☆99Updated last year
- Tools related to the Genomics of Drug Sensitivity in Cancer (GDSC) projects (http://www.cancerrxgene.org/ )☆36Updated 4 years ago
- ☆38Updated 2 years ago
- De novo peptide sequencing for DDA and DIA by deep learning☆40Updated 5 years ago
- Epitope immunogenicity prediction through in silico TCR-peptide contact potential profiling.☆25Updated 2 years ago
- retrieve protein sequence identifiers and metadata from http://uniprot.org☆68Updated last month
- CMap Notebooks for LINCS 2020 Workshop☆49Updated 4 years ago
- Python package and command line tool for epitope prediction☆52Updated last year
- MHC Class I and Class II neoantigen binding prediction☆34Updated 6 months ago
- Prize-Collecting Steiner Forests for Interactomes☆63Updated last year
- HLA-II ligand predictor.☆46Updated 2 years ago
- Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit☆50Updated 2 years ago
- Converts Ensembl, Uniprot, and HGNC IDs to Entrez Gene Id☆47Updated 2 years ago
- Modeling of human 5′ UTRs enables the design of new sequences for target levels of translation and 5′ UTR variant prediction.☆57Updated 6 years ago
- Data Integration tool utilizing network information for predictive analyses☆16Updated 8 months ago
- Visualization and analysis platform for metabolic data and network pattern recognition☆40Updated 10 months ago
- ☆48Updated 4 years ago
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆18Updated 3 years ago
- A hybrid deep convolutional neural network for predicting chromatin accessibility☆25Updated 6 years ago
- Immunoglobulin and T-Cell receptor rearrangement software☆51Updated 3 weeks ago