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Expression level of the selected genes ordered by the ranking returned by mRMR algorithm.

By Juan Manuel Gálvez (5211041), Daniel Castillo (2608138), Luis Javier Herrera (5211038), Belén San Román (5211044), Olga Valenzuela (5211047), Francisco Manuel Ortuño (5059142) and Ignacio Rojas (5059148)

Abstract

<p>Different colors are used for each cancer-related skin state: NSK (Normal Skin), NEV (Nevus), PRIMEL (Primary Melanoma), METMEL (Metastatic Melanoma), BCC (Basal Cell Carcinoma), SCC (Squamous Cell Carcinoma) and MCC (Merkel Cell Carcinoma).</p

Topics: Genetics, Molecular Biology, Cancer, Infectious Diseases, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Next-Generation Sequencing-related technologies, gene expression quantification, SVM, gene expression data, skin cancer series, DEG, integration, cross-validation Support Vector Machines, skin states, gene expression series, gene expression microarray datasets, skin cancer, technology, diagnosis support tool, highly-reliable skin cancer biomarkers, multiclass classifier design
Year: 2018
DOI identifier: 10.1371/journal.pone.0196836.g007
OAI identifier: oai:figshare.com:article/6261194
Provided by: FigShare
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