varnivey / ipanda
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…
☆25Updated 8 years ago
Alternatives and similar repositories for ipanda:
Users that are interested in ipanda are comparing it to the libraries listed below
- Knowledge-primed neural networks☆35Updated last year
- predicting peptide and TCR interaction☆20Updated 4 years ago
- Tools related to the Genomics of Drug Sensitivity in Cancer (GDSC) projects (http://www.cancerrxgene.org/ )☆36Updated 3 years ago
- Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data☆28Updated 11 months ago
- Concise: Keras extension for regulatory genomics☆35Updated 2 years ago
- An Improved Algorithm to Measure the Semantic Similarity of Gene Ontology Terms☆17Updated 4 years ago
- Predicting gene expression levels from genomic sequences☆51Updated 4 years ago
- HLA-II ligand predictor.☆41Updated last year
- Connectivity Map analysis in MATLAB☆43Updated 3 years ago
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆17Updated 2 years ago
- Epitope immunogenicity prediction through in silico TCR-peptide contact potential profiling.☆24Updated last year
- A deep learning approach for predicting high-confidence neoantigens by considering both the presentation possibilities of mutant peptides…☆41Updated last year
- Data Integration tool utilizing network information for predictive analyses☆16Updated last year
- Deep Learning Method to Identify Cancer Associated TCRs☆46Updated 2 years ago
- ☆37Updated last year
- MHC Class I and Class II neoantigen binding prediction☆28Updated 2 years ago
- Python interface to running command-line and web-based MHC binding predictors☆95Updated 5 months ago
- Code for the CRISPOR article, all data and code to create figures and analysis☆40Updated 8 years ago
- Companion to "A genome-wide almanac of co-essential modules assigns function to uncharacterized genes" (https://doi.org/10.1101/827071)☆27Updated 2 years ago
- Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit☆49Updated last year
- iDeep: integrated prediction of RNA-protein binding sites using deep learning☆39Updated 4 years ago
- Extension of the WGCNA program to improve the eigengene similarity of modules and increase the overall number of genes in modules.☆62Updated 3 years ago
- ☆23Updated 4 years ago
- A deep learning package for predicting TF binding☆42Updated 5 years ago
- CMap Notebooks for LINCS 2020 Workshop☆46Updated 3 years ago
- A python library for creating simulated regulatory DNA sequences☆38Updated 2 years ago
- A 3-Dimensional View of Human Metabolism and Disease☆26Updated 7 years ago
- Python package and command line tool for epitope prediction☆51Updated 7 months ago
- Deep Feature Interaction Maps (DFIM)☆53Updated 5 years ago
- Coda: a convolutional denoising algorithm for genome-wide ChIP-seq data☆33Updated 7 years ago