Information-theoretic analysis of phenotype changes in early stages of carcinogenesis.
about
Surprisal analysis of transcripts expression levels in the presence of noise: a reliable determination of the onset of a tumor phenotype.Single cell proteomics in biomedicine: High-dimensional data acquisition, visualization and analysis.Glioblastoma cellular architectures are predicted through the characterization of two-cell interactionsConvergence of logic of cellular regulation in different premalignant cells by an information theoretic approach.Surprisal analysis of Glioblastoma Multiform (GBM) microRNA dynamics unveils tumor specific phenotype.Surprisal analysis characterizes the free energy time course of cancer cells undergoing epithelial-to-mesenchymal transitionProtein signaling networks from single cell fluctuations and information theory profiling.Computational surprisal analysis speeds-up genomic characterization of cancer processes.Neuroreceptor activation by vibration-assisted tunneling.On a fundamental structure of gene networks in living cellsFree energy rhythms in Saccharomyces cerevisiae: a dynamic perspective with implications for ribosomal biogenesisIntercellular signaling through secreted proteins induces free-energy gradient-directed cell movement.Critical Points in Tumorigenesis: A Carcinogen-Initiated Phase Transition Analyzed via Single-Cell Proteomics.A Thermodynamic-Based Interpretation of Protein Expression Heterogeneity in Different Glioblastoma Multiforme Tumors Identifies Tumor-Specific Unbalanced Processes.miRNA and mRNA cancer signatures determined by analysis of expression levels in large cohorts of patients.Thermodynamically inspired classifier for molecular phenotypes of health and diseaseContribution of gross chromosomal changes to HPV16-induced transformation.Statistical thermodynamics of transcription profiles in normal development and tumorigeneses in cohorts of patients.Surprisal analysis of genome-wide transcript profiling identifies differentially expressed genes and pathways associated with four growth conditions in the microalga Chlamydomonas.An introduction to the maximum entropy approach and its application to inference problems in biology.
P2860
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P2860
Information-theoretic analysis of phenotype changes in early stages of carcinogenesis.
description
2010 nî lūn-bûn
@nan
2010 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Information-theoretic analysis of phenotype changes in early stages of carcinogenesis.
@ast
Information-theoretic analysis of phenotype changes in early stages of carcinogenesis.
@en
type
label
Information-theoretic analysis of phenotype changes in early stages of carcinogenesis.
@ast
Information-theoretic analysis of phenotype changes in early stages of carcinogenesis.
@en
prefLabel
Information-theoretic analysis of phenotype changes in early stages of carcinogenesis.
@ast
Information-theoretic analysis of phenotype changes in early stages of carcinogenesis.
@en
P2093
P2860
P356
P1476
Information-theoretic analysis of phenotype changes in early stages of carcinogenesis.
@en
P2093
Alexander Levitzki
R D Levine
P2860
P304
10324-10329
P356
10.1073/PNAS.1005283107
P407
P577
2010-05-17T00:00:00Z