Single Cell Multi-omics deep clustering
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Updated
Jul 1, 2025 - Python
Single Cell Multi-omics deep clustering
MerCat2: python code for versatile k-mer counting and diversity estimation for database independent property analysis for metaome data
Code for paper Multiomics dynamic learning enables personalized diagnosis and prognosis for pan-cancer and cancer-subtypes
MOVIS: A Multi-Omics Software Solution for Multi-modal Time-Series Clustering, Embedding, and Visualizing Tasks, by Aleksandar Anžel, Dominik Heider, and Georges Hattab
Network Regression Embeddings reveal cell-type Transcription Factor coordination for target gene (TG) regulation
MOMSI Standard Landscape Review Curation Workflow & Multi-Omics Dashboard
Graph Neural Networks with Multiple Prior Knowledge for Multi-Omics Data Analysis
Code for paper Multiomics dynamic learning enables personalized diagnosis and prognosis for pan-cancer and cancer-subtypes
Analysis code, scripts, and data visualization from my Master's thesis focused on the multiomic integration (transcriptomics, lipidomics, spatial lipidomics) of monoglyceride responses in adipose tissue macrophages within the context of obesity.
coxnnet v1 and v2 models updated to work with Python3.
Multi-omics integration method using AE and GCN
Simulate and download multi-omics datasets, by selecting omics types, sample sizes, and other parameters.
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