oposSOM-BROWSER – ANALYTICS TOOL Version 1
External LinkoposSOM is a comprehensive data analysis software combining diversity analyses, biomarker selection, functional information mining, and visualization to the machine learning based ‘high-dimensional data portraying’.
Export PNG
Download
Creators and SubmitterViews: 41
Created: 26th May 2026 at 16:13
TagsThis item has not yet been tagged.
AttributionsNone
Version History
Version 1 (earliest) Created 26th May 2026 at 16:13 by Lana Karapetyan
No revision comments
Related items
Projects: Study of the molecular mechanisms of familial Mediterranean fever using genetic engineering and functional genomics, Development of induced pluripotent stem cell bank of patients with Familial Mediterranean Fever, Molecular Profiling of Cancer Metastases, Sex-specific differences in long-term gamma and simGCRsim-associated alterations in differential gene expression in the heart tissue, Molecular characterization of cancers with long-read RNA sequencing, ML approaches for omic data analysis, Mental disorders and aging brain, Armenian Wine Genome Program, Functional Genomics of Vine, COVID-19, Genetic History of Armenians, Molecular epidemiology of multi-drug resistance, Multi-Omics Molecular Diversity of Cancers, Third International Congress "CRISPR-2025", International Summit in Immuno-Oncology, Low dose radiation risks: present research and future perspectives, Molecular Diagnostics in Oncology and Related Fields of Medicine, Whole genome and whole exome sequencing based analysis of diversity of genomic variants in Armenian population, Discovery of new antiviral compounds by combining in silico and in vitro methods, African swine fever virus
Institutions: Russian-Armenian University, Institute of Molecular Biology NAS RA
https://orcid.org/0009-0009-7992-1366
This Programme offers a comprehensive summary of various projects focused on deciphering the intricate molecular mechanisms of cancer development, progression, and response to treatments, utilizing bioinformatics, computational biology, and machine learning. These are multi-laboratory efforts carried out across several research institutions, supported by various grant programs.
Projects: Molecular Profiling of Cancer Metastases, Molecular characterization of cancers with long-read RNA sequencing, Multi-Omics Molecular Diversity of Cancers
Web page: Not specified
Programme: Cancer Omics
Public web page: Not specified
Abstract (Expand)
Authors: Edith Willscher, Lydia Hopp, Markus Kreuz, Maria Schmidt, Siras Hakobyan, Arsen Arakelyan, Bettina Hentschel, David T. W. Jones, Stefan M. Pfister, Markus Loeffler, Henry Loeffler-Wirth, Hans Binder
Date Published: 26th Jun 2021
Publication Type: Journal
