Suren Davitavyan

This project focuses on developing and applying machine learning (ML) methodologies to analyze complex omic datasets, including genomics, transcriptomics, proteomics, and metabolomics. By leveraging advanced ML techniques, the project aims to uncover novel biological insights, identify biomarkers, and enhance our understanding of molecular mechanisms underlying various diseases. The initiative is a collaborative effort maintained by the Institute of Molecular Biology NAS RA (IMB), ...

This is a supplementary dataset with raw data, scripts, and complete analysis results for the paper "Supervised projection of high-dimensional genome-wide expression on SOM transcriptome landscapes".

The archive contains three folders:

1. "Simdata" folder contains data, scripts, and results of performance evaluation of extension SOM and supervised SOM with simulated data.

2. "IBD" - folder contains data, scripts, and results of analysis of Inflammatory bowel disease datasets.

3. "BC" - folder ...