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

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...

Fuld beskrivelse

Gespeichert in:
Bibliografiske detaljer
Autoren: Thrun, Michael C., Mack, Elisabeth K. M., Neubauer, Andreas, Haferlach, Torsten, Frech, Miriam, Ultsch, Alfred, Brendel, Cornelia
Format: Artikel
Sprog:engelsk
Udgivet: Philipps-Universität Marburg 2022
Fag:
leukemia
gene expressions
Bayesian machine learning
cluster of differentiation genes
CD genes
Mathematik
Mathematics
Online adgang:PDF-Volltext
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
Publikationen im Open Access gefördert durch die UB

Lignende værker