Go to content
UR Home

Knowledge-based gene expression classification via matrix factorization

Schachtner, R. ; Lutter, D. ; Knollmüller, P. ; Tomé, A. M. ; Theis, Fabian J. ; Schmitz, G. ; Stetter, M. ; Gómez Vilda, P. ; Lang, Elmar



Abstract

Motivation: Modern machine learning methods based on matrix decomposition techniques, like independent component analysis (ICA) or non-negative matrix factorization (NMF), provide new and efficient analysis tools which are currently explored to analyze gene expression profiles. These exploratory feature extraction techniques yield expression modes (ICA) or metagenes (NMF). These extracted ...

plus


Owner only: item control page
  1. Homepage UR

University Library

Publication Server

Contact:

Publishing: oa@ur.de
0941 943 -4239 or -69394

Dissertations: dissertationen@ur.de
0941 943 -3904

Research data: datahub@ur.de
0941 943 -5707

Contact persons