rezacsedu / Convolutional-embedded-networksLinks
Convolutional Embedded Networks for Population Scale Clustering and Bio-ancestry Inferencing
☆11Updated 5 years ago
Alternatives and similar repositories for Convolutional-embedded-networks
Users that are interested in Convolutional-embedded-networks are comparing it to the libraries listed below
Sorting:
- Boiler: a software tool for highly efficient, lossy compression of RNA-seq alignments☆13Updated 9 years ago
- K-means clustering for large single-cell datasets☆12Updated 3 years ago
- Concise: Keras extension for regulatory genomics☆35Updated 2 years ago
- We have moved to https://github.com/limix/limix.☆23Updated 8 years ago
- SeqOthello supports fast coverage query and containment query.☆12Updated 6 years ago
- ☆25Updated 4 years ago
- Deep Feature Interaction Maps (DFIM)☆53Updated 6 years ago
- netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data☆23Updated 4 years ago
- Imputation of single cell RNA-sequencing data with autoencoder☆16Updated 4 years ago
- Simple and efficient access to genomic data for deep learning models.☆42Updated 5 years ago
- TeraPCA is a multithreaded C++ software suite based on Intel's MKL library (or any other BLAS and/or LAPACK distribution). TeraPCA featur…☆15Updated 3 years ago
- MerCat: python code for versatile k-mer counting and diversity estimation for database independent property analysis for meta -ome data☆18Updated 3 years ago
- a python package for KEGG pathway enrichment analysis with multiple gene lists.☆38Updated 8 years ago
- Base-pair resolution detection of transcription factor binding site by deep deconvolutional network☆10Updated 8 years ago
- SemI-SUpervised generative Autoencoder models for single cell data☆18Updated 4 years ago
- Predict the boundary of transcript start and end from RNA-seq reads alignment☆11Updated 8 years ago
- Empirical Bayes methods for single cell data☆16Updated 5 years ago
- Hera-T, a fast and accurate tool for estimating gene abundances in single cell data generated by the 10X-Chromium protocol☆18Updated 4 years ago
- ☆11Updated 8 years ago
- "Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks" by Peter K. Koo and Sean R. Eddy☆33Updated 5 years ago
- Sequence data label generation and ingestion into deep learning models☆11Updated 4 years ago
- GPU implementation of ARD NMF☆45Updated 2 years ago
- ☆10Updated 5 years ago
- Snakemake workflow to benchmark scRNA-seq data simulators☆14Updated 3 years ago
- examples to run monorail externally☆19Updated last year
- Version 2.1.0 released☆23Updated 6 years ago
- pathoscore evaluates variant pathogenicity tools and scores.☆22Updated 3 years ago
- ☆12Updated last year
- Genetics training camp☆21Updated 5 years ago
- Wasserstein Generative Adversarial Network for analysing scRNAseq data☆34Updated 4 years ago