170 skills found · Page 1 of 6
gao-lab / GLUEGraph-linked unified embedding for single-cell multi-omics data integration
SSSYDYSSS / TransProRAnalysis and visualization of multi-omics data. In ongoing development: multi-modal fusion, sparse learning, and spatio-temporal effects...
txWang / MOGONETMOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
epigenelabs / InmooseInMoose is the INtegrated Multi Omic Open Source Environment. It is a collection of tools for the analysis of omic data.
ropensci / UCSCXenaTools:package: An R package for accessing genomics data from UCSC Xena platform, from cancer multi-omics to single-cell RNA-seq https://cran.r-project.org/web/packages/UCSCXenaTools/
Lotfollahi-lab / NichecompassEnd-to-end analysis of spatial multi-omics data
taowenmicro / EasyMultiOmicsEasyMultiOmics: An R package for comprehensive multi-omics data mining in systematic microbiome research
RasmussenLab / MOVEMOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
lanagarmire / DeepProgDeep-Learning framework for multi-omic and survival data integration
JinmiaoChenLab / SpatialGlueSpatialGlue is a novel deep learning methods for spatial multi-omics data integration.
rsinghlab / SCOTGromov-Wasserstein based optimal transport for aligning single-cell multi-omics data
ZhangLabGT / ScMultiSimA simulator for single cell multi-omics and spatial omics data that provides ground truth to benchmark a wide range of methods.
saezlab / CosmosRCOSMOS (Causal Oriented Search of Multi-Omic Space) is a method that integrates phosphoproteomics, transcriptomics, and metabolomics data sets.
zhangxiaoyu11 / OmiEmbedMulti-task deep learning framework for multi-omics data analysis
the-ouyang-lab / ShinyCell2ShinyCell2 is a lightweight R package for building interactive, shareable apps to explore single-cell multi-omics, scATAC-seq and spatial transcriptomics data with customizable, publication-ready visualizations.
BIMSBbioinfo / MauiMulti-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
RegnerM2015 / ScENDO ScOVAR 2020This repository holds the scripts used to analyze the data presented in "A multi-omic single-cell landscape of human gynecologic malignancies", Regner et al., 2021
liubingdong / EasyMultiProfilerThe EasyMultiProfiler package aims to offer a user-friendly and efficient multi-omics data analysis tool on the R platform. It facilitates various essential tasks related to microbiome, genome, and metabolite downstream analysis, providing a seamless workflow from start to finish.
haiyang1986 / Subtype GANa deep learning approach for integrative cancer subtyping of multi-omics data
KChen-lab / BindSCBi-order integration (in silico multi-omics data) of single cell RNA sequencing, single cell ATAC sequencing, spacial transcriptomics and CyTOF data
