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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Thrun, Michael C., Mack, Elisabeth K. M., Neubauer, Andreas, Haferlach, Torsten, Frech, Miriam, Ultsch, Alfred, Brendel, Cornelia
Aineistotyyppi: Artikkeli
Kieli:englanti
Julkaistu: Philipps-Universität Marburg 2022
Aiheet:
leukemia
gene expressions
Bayesian machine learning
cluster of differentiation genes
CD genes
Mathematik
Mathematics
Linkit:PDF-kokoteksti
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!
Publikationen im Open Access gefördert durch die UB

Samankaltaisia teoksia