NEW ANALYTICS TOOL RELAESED
oposSOM 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’.
The new oposSOM-Browser extends this toolkit and introduces the interactive browsing of single gene and function set profiles, of their mapping into the molecular ‘portrait landscape’, of phenotype diversity and associated survival differences, and of cellular signaling pathway activation patterns. Further, individual signature gene list can be mapped and evaluated regarding diagnostic quality.
Currently, oposSOM-Browser provides in-detail data analytics of five different data sets previously evaluated using oposSOM software, among them transcriptome of almost 1,000 lymphoma cases and healthy blood transcriptome of about 3,500 Leipzig inhabitants. Additional data sets and further functionalities are in the pipeline.
AVAILABLE DATA SETS
(80 tumor & nevi samples, Kunz et al.,
LHA id 7R4PDEM4HG-2)
(137 tumor samples, GGN consortium,
LHA id 7Q0CFRJKW4-7)
(180 samples + 10 controls, Burnham et al.,
LHA id 7RU79AQTJD-9)
(3388 samples, Schmidt et al., LHA id xxxxxxxxxxx)
(873 tumor samples, MMML consortium, LHA id 7WEWFE12CK-4)