Portraying the Expression Landscapes of B-CellLymphoma-Intuitive Detection of Outlier Samples and of Molecular Subtypes.
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BiBTeXWe present an analytic framework based on Self-Organizing Map (SOM) machine learning to study large scale patient data sets. The potency of the approach is demonstrated in a case study using gene expression data of more than 200 mature aggressive B-cell lymphoma patients. The method portrays each sample with individual resolution, characterizes the subtypes, disentangles the expression patterns into distinct modules, extracts their functional context using enrichment techniques and enables investigation of the similarity relations between the samples. The method also allows to detect and to correct outliers caused by contaminations. Based on our analysis, we propose a refined classification of B-cell Lymphoma into four molecular subtypes which are characterized by differential functional and clinical characteristics.
Human Diseases: Non-hodgkin lymphoma, B-cell lymphoma
Citation: Biology (Basel). 2013 Dec 2;2(4):1411-37. doi: 10.3390/biology2041411.
Date Published: 2nd Dec 2013
Registered Mode: by PubMed ID
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Created: 10th May 2019 at 11:32
Last updated: 7th Dec 2021 at 17:58
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MMML-MYC-SYS is a interdisciplinary consortium where partners from clinical haemaoncological study groups, pathologists, geneticicts, cell biologists as well as mathematicians, statisticians and bioinformaticists have allied. The goal is to investigate the process of development of B-cell lymphoma under special consideration of mutation of MYC. MYC is known to support the development and growth of tumors. This consortium collected and evaluated comprehensive molecular-genetic data for this purpose. ...
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Analysis of large-scale molecular biological data using self-organizing maps
Comprehensive analysis of genome-wide molecular data challenges bioinformatics methodology in terms of intuitive visualization with single-sample resolution, biomarker selection, functional information mining and highly granular stratification of sample classes. oposSOM combines those functionalities making use of a comprehensive analysis and visualization strategy based on self-organizing maps (SOM) machine learning ...
Creator: Henry Löffler-Wirth
Submitter: Henry Löffler-Wirth
Model type: Not specified
Model format: R package
Environment: Shiny
External Link
Projects: Leipzig Melanoma Studies, CAPSys - Footprints of Sepsis Framed Within Community Acquired Pneumonia in the Blood Transcriptome, CapSys - Systems Medicine of Community Acquired Pneumonia, e:Med, HNPCC-Sys - Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome, oBIG - omics Bioinformatics for Health
Institutions: Interdisciplinary Center for Bioinformatics (IZBI)
https://orcid.org/0000-0002-2242-4678
Projects: LHA - Leipzig Health Atlas, LIFE Adult, LIFE - Leipzig Research Center for Civilization Diseases, LIFE HNC - Head and Neck Cancer Group, LIFE Heart, MMML - Molecular mechanisms in malignant lymphoma, GLA - German Lymphoma Alliance, MMML Demonstrators - Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine, HaematoOpt - Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles, e:Med, GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer, GC-HNPCC - German Consortium for Hereditary Non-Polyposis Colorectal Cancer, MMML-MYC-SYS, NLP4CR - Natural Language Processing for Clinical Research, Genetical Statistics and Systems Biology, SepNet - German Competence Network Sepsis, LIFE Child, HNPCC-Sys - Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome, GGN - German Glioma Network, CAPSys - Footprints of Sepsis Framed Within Community Acquired Pneumonia in the Blood Transcriptome, CapSys - Systems Medicine of Community Acquired Pneumonia, ProstataCA, HaematoSys - Systems biology of haematopoiesis and haematopoietic neoplasia, SMITH - Smart Medical Information Technology for Healthcare, Task Force COVID-19 Leipzig, NFDI4Health, POLAR - Polypharmacy, Drug Interactions, Risks, Management of health information systems, LivSys Transfer - Transfer of the LivSys in vitro system for hepatotoxicity into application, Project Test Demonstrator, Fundus photography as tool for analysis of eyes of subjects with diabetes, Clinical Trials Leipzig, NFDI4Health - TA3 Services, STOP-NUC, SCALE-TORT, EarlyAMDRate
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)
https://orcid.org/0000-0001-8344-0658
Projects: Leipzig Melanoma Studies, GLA - German Lymphoma Alliance, MMML-MYC-SYS, GGN - German Glioma Network, LIFE Adult, LIFE - Leipzig Research Center for Civilization Diseases, Task Force COVID-19 Leipzig, NFDI4Health, LHA - Leipzig Health Atlas, Think different, imSAVAR - Immune safety avatar: nonclinical mimicking of the immune system effects of immunomodulatory therapies, oBIG - omics Bioinformatics for Health, Vine Bioinformatics - grape genomics for Innovative viticulture
Institutions: University of Leipzig, Interdisciplinary Center for Bioinformatics (IZBI)
https://orcid.org/0000-0001-8239-440X
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_707
Synonyms: B-cell lymphocytic neoplasm
Definitions: A non-Hodgkin lymphoma that has_material_basis_in B cells.
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_0060060
Definitions: A lymphoma that is characterized as any kind of lymphoma except Hodgkin's lymphoma., OMIM mapping confirmed by DO. [LS].
