Meta-analysis of esophageal cancer transcriptomes using independent component analysis

HIGHLIGHTS

  • who: Ainur Seisenova and colleagues from the Laboratory of Bioinformatics and Systems Biology, National Laboratory Astana, Center for Life Sciences, Nazarbayev University, Kazakhstan, Institut Curie, PSL Research University, INSERM, Paris, France, Laboratory of Advanced Methods for Highdimensional Data Analysis, Lobachevsky University, Nizhny Novgorod, Russia have published the research work: Meta-Analysis of Esophageal Cancer Transcriptomes Using Independent Component Analysis, in the Journal: (JOURNAL)
  • what: The aim of this research is to search for potential genetic biomarkers and pathways for early diagnosis of EC using ICA for transcriptomic datasets using the ICA-based deconvolution method.
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