HKU-BAL / Clairvoyante-PyTroch
Pytorch version of Clairvoyante
☆9Updated 5 years ago
Alternatives and similar repositories for Clairvoyante-PyTroch:
Users that are interested in Clairvoyante-PyTroch are comparing it to the libraries listed below
- ☆10Updated last year
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆39Updated last year
- ☆31Updated 5 years ago
- Clairvoyante: a multi-task convolutional deep neural network for variant calling in Single Molecule Sequencing☆169Updated last year
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆102Updated last year
- scDeepCluster for Single Cell RNA-seq data☆99Updated 7 months ago
- An actionable database of publicly available single-cell RNA-seq data☆41Updated 5 years ago
- covolutional neural network based coexpression analysis☆76Updated 4 years ago
- NeuSomatic: Deep convolutional neural networks for accurate somatic mutation detection☆169Updated 3 years ago
- Single-cell ATAC-seq analysis via Latent feature Extraction☆101Updated last year
- Deep learning framework for SV calling and genotyping☆104Updated last year
- Prediction of mRNA subcellular localization using deep recurrent neural networks☆14Updated 5 years ago
- Towards Gene Expression Convolutions using Gene Interaction Graphs☆74Updated 3 years ago
- Code for the paper "Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellula…☆44Updated 3 years ago
- ☆18Updated 3 years ago
- Notes on single-cell Hi-C technologies, tools, and data☆76Updated 4 months ago
- code to run sei and obtain sei and sequence class predictions☆97Updated 2 years ago
- TCGA Benchmark Tasks for Clinical Attribute Prediction based on Genome☆13Updated 3 years ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 3 years ago
- BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.☆29Updated 5 years ago
- multiway chromatin interaction, 3D genome, single-nucleus, hypergraph representation learning☆29Updated 2 years ago
- ☆57Updated last year
- Code for reproducing the Sei manuscript results☆16Updated 3 years ago
- Deep-learning Augmented RNA-seq analysis of Transcript Splicing☆111Updated last year
- ☆18Updated 2 years ago
- ☆26Updated 11 months ago
- Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysis☆45Updated 4 years ago
- Scripts + resources for analyzing combinatorial Hi-C data☆29Updated 5 years ago
- ☆115Updated 2 years ago
- Single-cell epigenomic data annotation via supervised non-linear embedding☆23Updated 2 years ago