Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
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Updated
Apr 15, 2025 - Python
Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
𝒫robabilistic modeling of RNA velocity ⬱
`sdrf-pipelines` is the official SDRF file validator and converts SDRF to pipeline configuration files
A novel method for single-cell diagonal integration: scConfluence
SIMBA: SIngle-cell eMBedding Along with features
MOVIS: A Multi-Omics Software Solution for Multi-modal Time-Series Clustering, Embedding, and Visualizing Tasks, by Aleksandar Anžel, Dominik Heider, and Georges Hattab
Code for Highly Trustworthy Multimodal Learning (HTML) Method on Omics
BraneMF: Integration of Biological Networks for Functional Analysis of Proteins
A pythonic library for analysing immunopeptidomic experiments
Multi-omics Trustworthy Integration Framework (MoTIF)
Main Repository for my MASTER'S THESIS PROJECT
Graph-based Contrastive Learning enable Fast Single-Cell Embedding
Single-Cell Data Analysis Tools
Lightweight Feature selection Python library
Here are the configs for MultiomicsKG. Feel free to add or edit any of these as you see fit. There's a config checker and guidelines here too.
OmicsDI Rest API client in Python
Different python tools to validate and convert SDRF files
Transcriptional and epigenetic signature of muscle tissue cells linked to atrophy
Bi-level regularized flux balance analysis of Synechococcus spp. PCC 7002
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