rezacsedu / Convolutional-embedded-networks
Convolutional Embedded Networks for Population Scale Clustering and Bio-ancestry Inferencing
☆11Updated 4 years ago
Related projects: ⓘ
- Imputation of single cell RNA-sequencing data with autoencoder☆15Updated 3 years ago
- netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data☆22Updated 3 years ago
- ☆15Updated 4 years ago
- UNCURL is a tool for single cell RNA-seq data analysis.☆15Updated 2 years ago
- Marker Selection by matching manifolds and elastic net☆23Updated 9 months ago
- Accompanying repository for GkmExplain paper☆21Updated 4 years ago
- ☆11Updated 4 years ago
- Version 2.1.0 released☆23Updated 5 years ago
- ☆12Updated this week
- Bootstrap imputation for scRNAseq data☆12Updated 4 years ago
- Source code for integrative nonnegative matrix factorization☆16Updated 6 years ago
- netSmooth: A Network smoothing based method for Single Cell RNA-seq imputation☆27Updated 4 months ago
- Snakemake workflow to benchmark scRNA-seq data simulators☆12Updated 2 years ago
- GEDFN: Graph-Embedded Deep Feedforward Network☆23Updated 5 years ago
- Data, results, and code accompanying the manuscript: "Supervised learning is an accurate method for network-based gene classification"☆10Updated 2 years ago
- ☆18Updated this week
- Reproducibility for the "Harmonization and Annotation of Single-cell Transcriptomics data with Deep Generative Models" paper☆13Updated 2 years ago
- Comparison of dimensionality reduction methods☆30Updated 4 years ago
- A novel biclustering algorithm for analyses of transcriptomic data.☆17Updated 5 years ago
- Data Integration tool utilizing network information for predictive analyses☆16Updated last year
- Repository for the Epigenomics Tutorial hold at ISMB 2017 in Prague☆14Updated 4 years ago
- Compute a 2D embedding of a data matrix given supervised class information.☆12Updated 4 years ago
- Moana: Robust cell type classification of single-cell RNA-Seq data☆22Updated 5 years ago
- ☆14Updated 4 years ago
- Code for paper "Principled feature attribution for unsupervised gene expression analysis"☆10Updated last year
- DLPRB: A Deep Learning Approach for Predicting Protein-RNA Binding☆13Updated 5 years ago
- tGPLVM: A Nonparametric, Generative Model for Manifold Learning with scRNA-seq experimental data☆17Updated 5 years ago
- Single-cell identity definition using random forest modelling and recursive feature elimination☆12Updated 4 years ago
- K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data☆50Updated 2 years ago
- ☆18Updated 7 years ago