Cargando…
Applications of Bayesian network models in predicting types of hematological malignancies
Network analysis is the preferred approach for the detection of subtle but coordinated changes in expression of an interacting and related set of genes. We introduce a novel method based on the analyses of coexpression networks and Bayesian networks, and we use this new method to classify two types...
Autores principales: | Agrahari, Rupesh, Foroushani, Amir, Docking, T. Roderick, Chang, Linda, Duns, Gerben, Hudoba, Monika, Karsan, Aly, Zare, Habil |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5934387/ https://www.ncbi.nlm.nih.gov/pubmed/29725024 http://dx.doi.org/10.1038/s41598-018-24758-5 |
Ejemplares similares
-
Large-scale gene network analysis reveals the significance of extracellular matrix pathway and homeobox genes in acute myeloid leukemia: an introduction to the Pigengene package and its applications
por: Foroushani, Amir, et al.
Publicado: (2017) -
DNA methylation analysis improves the prognostication of acute myeloid leukemia
por: Samimi, Hanie, et al.
Publicado: (2021) -
“iNETgrate”: integrating DNA methylation and gene expression data in a single gene network
por: Sajedi, Sogand, et al.
Publicado: (2023) -
Customized middleware experience in a tertiary care hospital hematology laboratory
por: Roland, Kristine, et al.
Publicado: (2022) -
Incidence and Bayesian Mapping of Myeloid Hematologic Malignancies in Sardinia, Italy
por: Broccia, Giorgio, et al.
Publicado: (2023)