Olga Lazareva

The paper identifies a spatiotemporal cancer cell trajectory in glioblastoma that explains tumor heterogeneity across regions and subclones.

DysRegNet infers patient-specific gene-regulatory networks from bulk RNA-seq data, accounting for confounders and scaling to large sample sizes, showing age-specific bias in breast cancer.

TF-Prioritizer identifies condition-specific transcription factors using multi-modal genomic data and generates an interactive web report.

The paper introduces LINEX2, a lipid network analysis framework that identifies enzymatic dysregulation from lipidomics data by integrating metabolic networks and graph algorithms.

The paper compares differential expression analysis methods for CyTOF data, finding that median-based methods are reliable for non-zero-inflated data while methods using full distributions handle zero-inflation better but may overpredict.

BiCoN identifies patient subgroups and functional gene subnetworks by integrating network constraints with biclustering of omics data.