Deep-SemP (2026, in submission)
A deep semantic read-partitioning framework for parallel reference-free de novo transcriptome assembly in Caenorhabditis
githubModel: The distilled read distribution model of Deep-SemP (49MB)
A review on multi-omics integration for aiding study design of large scale TCGA cancer datasets BMC Genomics 2026
A general guideline on parameter selection for multi-omics intergrative analysis
githubUsing data: 10 TCGA Cancer Data (95GB)
MOPA: An integrative multi-omics pathway analysis method for measuring omics activity
PLOS ONE, 2023
MOPA: An Integrative Multi-Omics Pathway Analysis Method for Measuring Omics Activity
githubTutorial data: TCGA-COAD data (18MB)
MONTI: A Multi-Omics Non-negative Tensor Decomposition Framework for Gene-Level Integrative Analysis
Frontiers in Genetics, 2021
A Multi-Omics Non-negative Tensor Decomposition Framework for Gene-Level Integrative Analysis
githubTutorial data: TCGA-COAD data (70MB)
TCGA-BRCA mo-data: TCGA-BRCA data (2.5GB)
TimesVector Bioinformatics, 2017
A triclustering algorithm for detecting differential gene expression patterns in time-series multiple conditions or phenotype data
piClust Computational Biology and Chemistry, 2014
A density based clustering algorithm for detecting piRNA transcripts in RNA-seq data
web service
code (linux)
Genomes:
human
(refer to README file to add more genomes)