Cargando…
Convergence of Logic of Cellular Regulation in Different Premalignant Cells by an Information Theoretic Approach
BACKGROUND: Surprisal analysis is a thermodynamic-like molecular level approach that identifies biological constraints that prevents the entropy from reaching its maximum. To examine the significance of altered gene expression levels in tumorigenesis we apply surprisal analysis to the WI-38 model th...
Autores principales: | Kravchenko-Balasha, Nataly, Remacle, F, Gross, Ayelet, Rotter, Varda, Levitzki, Alexander, Levine, RD |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3072338/ https://www.ncbi.nlm.nih.gov/pubmed/21410932 http://dx.doi.org/10.1186/1752-0509-5-42 |
Ejemplares similares
-
Heterogeneity of Gene Expression in Murine Squamous Cell Carcinoma Development—The Same Tumor by Different Means
por: Cohen, Noam, et al.
Publicado: (2013) -
Anomalous Features of EMT during Keratinocyte Transformation
por: Geiger, Tamar, et al.
Publicado: (2008) -
Computational Surprisal Analysis Speeds-Up Genomic Characterization of Cancer Processes
por: Kravchenko-Balasha, Nataly, et al.
Publicado: (2014) -
Optimization of Energy-Consuming Pathways towards Rapid Growth in HPV-Transformed Cells
por: Mizrachy-Schwartz, Sarit, et al.
Publicado: (2007) -
Understanding Glioblastoma Signaling, Heterogeneity, Invasiveness, and Drug Delivery Barriers
por: Rabah, Nadin, et al.
Publicado: (2023)