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...

Volledige beschrijving

Bewaard in:
Bibliografische gegevens
Hoofdauteurs: Thrun, Michael C., Mack, Elisabeth K. M., Neubauer, Andreas, Haferlach, Torsten, Frech, Miriam, Ultsch, Alfred, Brendel, Cornelia
Formaat: Artikel
Taal:Engels
Gepubliceerd in: Philipps-Universität Marburg 2022
Onderwerpen:
leukemia
gene expressions
Bayesian machine learning
cluster of differentiation genes
CD genes
Mathematik
Mathematics
Online toegang:PDF Full text
Tags: Voeg label toe
Geen labels, Wees de eerste die dit record labelt!
Publikationen im Open Access gefördert durch die UB

Gelijkaardige items