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Integrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray data.
Integrative missing value estimation for microarray data.
A graph-based approach to systematically reconstruct human transcriptional regulatory modules.
Mining coherent dense subgraphs across massive biological networks for functional discovery.
Bayesian approach to transforming public gene expression repositories into disease diagnosis databases.
A novel computational framework for simultaneous integration of multiple types of genomic data to identify microRNA-gene regulatory modules.
Identifying multi-layer gene regulatory modules from multi-dimensional genomic data.
Integrating many co-splicing networks to reconstruct splicing regulatory modules.
Algorithm to identify frequent coupled modules from two-layered network series: application to study transcription and splicing coupling.
Unraveling complex temporal associations in cellular systems across multiple time-series microarray datasets.
Integrative analysis of many weighted co-expression networks using tensor computation.
Systematic discovery of functional modules and context-specific functional annotation of human genome.
An integrative modular approach to systematically predict gene-phenotype associations.
Integrative disease classification based on cross-platform microarray data.
Matrix factorization methods for integrative cancer genomics.
Hi-Corrector: a fast, scalable and memory-efficient package for normalizing large-scale Hi-C data.
Integrative analysis of many RNA-seq datasets to study alternative splicing.
Producing genome structure populations with the dynamic and automated PGS software.
CancerDetector: ultrasensitive and non-invasive cancer detection at the resolution of individual reads using cell-free DNA methylation sequencing data.
CMEP: a database for circulating microRNA expression profiling.