GEO DataSet Links for SRA (Select 8507378) - GEO DataSets

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Items: 2

Select item 3039348011.

disease rep33

Organism:: Homo sapiens

Source name:: endometrial tissue

Platform:: GPL16791
Series:: GSE134052

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Accession:: GSM3934801

ID:: 303934801

SRA Run Selector

Select item 2001340522.

Machine Learning Classifiers for Endometriosis Using Transcriptomics and Methylomics Data [Methylomics]

(Submitter supplied) We experimented how well various supervised machine learning methods such as decision tree, partial least squares discriminant analysis (PLSDA), support vector machine and random forest perform in classifying endometriosis from the control samples trained on both transcriptomics and methylomics data. The assessment was done from two different perspectives for improving classification performances: (a) implication of three different normalization techniques, and (b) implication of differential analysis using the generalized linear model (GLM). more...