Accurate and reliable cancer classification based on probabilistic inference of pathway activity.
about
The cure: design and evaluation of a crowdsourcing game for gene selection for breast cancer survival predictionA Bayesian model for the identification of differentially expressed genes in Daphnia magna exposed to munition pollutantsPathway-based classification of cancer subtypes.Interpreting personal transcriptomes: personalized mechanism-scale profiling of RNA-seq dataRNA-Seq Data: A Complexity Journey.Topologically inferring pathway activity toward precise cancer classification via integrating genomic and metabolomic data: prostate cancer as a case.Data Requirements for Model-Based Cancer Prognosis PredictionIdentification of diagnostic subnetwork markers for cancer in human protein-protein interaction networkCore module biomarker identification with network exploration for breast cancer metastasis.Single sample expression-anchored mechanisms predict survival in head and neck cancer.Identifying dysregulated pathways in cancers from pathway interaction networks.Pathway activity inference for multiclass disease classification through a mathematical programming optimisation framework.Kinetic analysis of dynamic (11)C-acetate PET/CT imaging as a potential method for differentiation of hepatocellular carcinoma and benign liver lesions.Comprehensive evaluation of composite gene features in cancer outcome prediction.Characterization of TAZ domains important for the induction of breast cancer stem cell properties and tumorigenesis.Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides.Gene-set activity toolbox (GAT): A platform for microarray-based cancer diagnosis using an integrative gene-set analysis approach.Prediction of breast cancer metastasis by gene expression profiles: a comparison of metagenes and single genes.Using prior knowledge from cellular pathways and molecular networks for diagnostic specimen classification.Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network.Simultaneous identification of robust synergistic subnetwork markers for effective cancer prognosis.Identification of novel targets for multiple myeloma through integrative approach with Monte Carlo cross-validation analysis.Detecting pairwise interactive effects of continuous random variables for bimarker identification with small sample size.Optimal cancer prognosis under network uncertainty.Topologically inferring pathway activity for precise survival outcome prediction: breast cancer as a case.A HIERARCHICAL BAYESIAN MODEL FOR INFERENCE OF COPY NUMBER VARIANTS AND THEIR ASSOCIATION TO GENE EXPRESSION.GTA: a game theoretic approach to identifying cancer subnetwork markers.Clustering gene expression regulators: new approach to disease subtyping.Identification of interconnected markers for T-cell acute lymphoblastic leukemiaIdentification of Robust Pathway Markers for Cancer through Rank-Based Pathway Activity Inference.CytoGTA: A cytoscape plugin for identifying discriminative subnetwork markers using a game theoretic approach.Integrative Analysis with Monte Carlo Cross-Validation Reveals miRNAs Regulating Pathways Cross-Talk in Aggressive Breast Cancer.Predicting pathway cross-talks in ankylosing spondylitis through investigating the interactions among pathways.Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors.COMPADRE: an R and web resource for pathway activity analysis by component decompositions.PhenoNet: identification of key networks associated with disease phenotype.Integration of pathway knowledge into a reweighted recursive feature elimination approach for risk stratification of cancer patients.A PRObabilistic Pathway Score (PROPS) for Classification with Applications to Inflammatory Bowel Disease.Dietary effects of linseed on fatty acid composition of milk and on liver, adipose and mammary gland metabolism of periparturient dairy cows.Characterizing co-expression networks underpinning maize stalk rot virulence in Fusarium verticillioides through computational subnetwork module analyses.
P2860
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P2860
Accurate and reliable cancer classification based on probabilistic inference of pathway activity.
description
2009 nî lūn-bûn
@nan
2009 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Accurate and reliable cancer c ...... inference of pathway activity.
@ast
Accurate and reliable cancer c ...... inference of pathway activity.
@en
type
label
Accurate and reliable cancer c ...... inference of pathway activity.
@ast
Accurate and reliable cancer c ...... inference of pathway activity.
@en
prefLabel
Accurate and reliable cancer c ...... inference of pathway activity.
@ast
Accurate and reliable cancer c ...... inference of pathway activity.
@en
P2860
P1433
P1476
Accurate and reliable cancer c ...... inference of pathway activity.
@en
P2093
Byung-Jun Yoon
P2860
P356
10.1371/JOURNAL.PONE.0008161
P407
P577
2009-12-07T00:00:00Z