Binary analysis and optimization-based normalization of gene expression data.
about
Analysis of kinase gene expression patterns across 5681 human tissue samples reveals functional genomic taxonomy of the kinomeBoolean networks using the chi-square test for inferring large-scale gene regulatory networks.Similarity searches in genome-wide numerical data setsCombining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollutionFitting Boolean networks from steady state perturbation data.Computational strategies for analyzing data in gene expression microarray experiments.Detecting robust time-delayed regulation in Mycobacterium tuberculosisExtracting binary signals from microarray time-course data.Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual information.Integrative sequence and tissue expression profiling of chicken and mammalian aquaporinsImpact of missing value imputation on classification for DNA microarray gene expression data--a model-based studyKnowledge about the presence or absence of miRNA isoforms (isomiRs) can successfully discriminate amongst 32 TCGA cancer typesClassification and error estimation for discrete data.Eukaryotic cells are dynamically ordered or critical but not chaotic.Measuring gene expression divergence: the distance to keepAnalysis and practical guideline of constraint-based boolean method in genetic network inference.Process-driven inference of biological network structure: feasibility, minimality, and multiplicityMeasuring the effect of inter-study variability on estimating prediction error.State reduction for network intervention in probabilistic Boolean networks.Reverse engineering Boolean networks: from Bernoulli mixture models to rule based systems.Comorbidity of bipolar disorder with substance abuse: selection of prioritized genes for translational researchAlgorithmic and analytical methods in network biology.Optimal scaling of digital transcriptomesSubnetwork state functions define dysregulated subnetworks in cancer.A categorical network approach for discovering differentially expressed regulations in cancer.Efficient experimental design for uncertainty reduction in gene regulatory networks.Unsupervised analysis uncovers changes in histopathologic diagnosis in supervised genomic studies.Recent development and biomedical applications of probabilistic Boolean networks.Estimation of Gene Regulatory NetworksClinical Relevance and Molecular Phenotypes in Gastric Cancer, of TP53 Mutations and Gene Expressions, in Combination With Other Gene Mutations.On the underlying assumptions of threshold Boolean networks as a model for genetic regulatory network behaviorBoolean implication networks derived from large scale, whole genome microarray datasets.Algorithms for finding small attractors in Boolean networks.Polynomial-time algorithm for controllability test of a class of boolean biological networks.Deterministic and stochastic models of genetic regulatory networks.BiTrinA--multiscale binarization and trinarization with quality analysis.Inferring Boolean network states from partial information.A biclustering algorithm for extracting bit-patterns from binary datasets.An approximation method for solving the steady-state probability distribution of probabilistic Boolean networks.Cooperative development of logical modelling standards and tools with CoLoMoTo.
P2860
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P2860
Binary analysis and optimization-based normalization of gene expression data.
description
2002 nî lūn-bûn
@nan
2002 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Binary analysis and optimization-based normalization of gene expression data.
@ast
Binary analysis and optimization-based normalization of gene expression data.
@en
type
label
Binary analysis and optimization-based normalization of gene expression data.
@ast
Binary analysis and optimization-based normalization of gene expression data.
@en
prefLabel
Binary analysis and optimization-based normalization of gene expression data.
@ast
Binary analysis and optimization-based normalization of gene expression data.
@en
P356
P1433
P1476
Binary analysis and optimization-based normalization of gene expression data.
@en
P2093
P304
P356
10.1093/BIOINFORMATICS/18.4.555
P407
P577
2002-04-01T00:00:00Z