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Multi-Omics case study report – ovarian neoplasm analysis
MATCH Suite arabidopsis gene set analysis report
Analysis of transcriptomics in triple-negative breast cancer cells

Multi-Omics Case Study Report – Ovarian Neoplasm Analysis

Full demo report (case study) shows how transcriptomics and DNA methylation data were integrated to identify actionable drug targets in ovarian neoplasms.

The case study highlights:

Key transcriptional regulators: EP300, NFYA, RXRA, RELA, and HSF1
Druggable signaling nodes and master regulators: PDGFRA, VRK1, and the CDK1–Cyclin B1 complex

This analysis was conducted using the Genome Enhancer pipeline developed by geneXplain.

MATCH Suite Arabidopsis gene set analysis report

geneXplain platform supports integrative analyses—including gene expression, DNA methylation, and transcription factor activity—for a variety of model organisms, not just human data.

You can get the illustration — a brief PDF showcasing a MATCH Suite analysis for Arabidopsis thaliana.

It demonstrates how transcription factor binding site predictions and upstream regulatory insights can be effectively applied to plant data using our platform.

Analysis of transcriptomics in triple-negative breast cancer cells

Triple negative breast cancer is characterized by the absence of expression of the three genes that are used as biomarkers and drug targets in other types of breast cancer, the estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2).

Aim of this analysis is to identify master regulatory molecules in triple negative breast cancer as well as the regulatory transcription factors that might serve as biomarkers and putative
drug targets.

Get free reports and case studies to your email

Multi-Omics case study report – ovarian neoplasm analysis
MATCH Suite arabidopsis gene set analysis report
Analysis of transcriptomics in triple-negative breast cancer cells