A Bioinformatics View on Acute Myeloid Leukemia Surface Molecules by Combined Bayesian and ABC Analysis

“Big omics data” provoke the challenge of extracting meaningful information with clinical benefit. Here, we propose a two-step approach, an initial unsupervised inspection of the structure of the high dimensional data followed by supervised analysis of gene expression levels, to reconstruct the surf...

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Principais autores:	Michael C. Thrun, Elisabeth K. M. Mack, Andreas Neubauer, Torsten Haferlach, Miriam Frech, Alfred Ultsch, Cornelia Brendel
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2022-11-01
Serija:	Bioengineering
Teme:	Bayesian machine learning gene expressions leukemia cluster of differentiation genes CD genes
Online dostop:	https://www.mdpi.com/2306-5354/9/11/642
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