greenelab / tybalt
Training and evaluating a variational autoencoder for pan-cancer gene expression data
☆165Updated 5 years ago
Alternatives and similar repositories for tybalt:
Users that are interested in tybalt are comparing it to the libraries listed below
- Deep learning for single-cell transcript counts☆84Updated 4 years ago
- ☆64Updated last year
- Models and datasets for perturbational single-cell omics☆149Updated 2 years ago
- Gene2Vec: Distributed Representation of Genes Based on Co-Expression☆113Updated 2 years ago
- Building classifiers using cancer transcriptomes across 33 different cancer-types☆119Updated 5 years ago
- ☆99Updated last year
- ☆98Updated 3 months ago
- Model zoo for genomics☆166Updated 6 months ago
- Deep count autoencoder for denoising scRNA-seq data☆252Updated 10 months ago
- Towards Gene Expression Convolutions using Gene Interaction Graphs☆74Updated 3 years ago
- Variational autoencoder for single cell RNA-seq datasets☆44Updated 7 years ago
- Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools☆130Updated 2 years ago
- predicting expression effects of human genome variants ab initio from sequence☆125Updated this week
- For anyone who are eager to applying deep learning in bioinformatics!☆122Updated 6 years ago
- Reproducing the experiments of the paper "Deep generative modeling for single-cell transcriptomics"☆56Updated 6 years ago
- Framework for Interpretable Neural Networks☆99Updated this week
- Drug Response Variational Autoencoder☆28Updated 5 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆121Updated 2 years ago
- Kipoi's model zoo API☆235Updated 9 months ago
- Deep Embedding for Single-cell Clustering☆84Updated 9 months ago
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆147Updated 2 years ago
- Collection of public scRNA-Seq datasets used by our group☆167Updated 3 years ago
- Toolkit to train base-resolution deep neural networks on functional genomics data and to interpret them☆148Updated 5 months ago
- P-NET, Biologically informed deep neural network for prostate cancer classification and discovery☆148Updated 3 years ago
- Reference mapping for single-cell genomics☆348Updated 2 weeks ago
- a framework for training sequence-level deep learning networks☆378Updated last month
- TF MOtif Discovery from Importance SCOres☆132Updated last year
- CellBox: Interpretable Machine Learning for Perturbation Biology☆54Updated last year
- ☆49Updated 5 years ago
- covolutional neural network based coexpression analysis☆76Updated 4 years ago