Towards precise classification of cancers based on robust gene functional expression profiles - Wikidata - awgldk - TriplyDB

Towards precise classification of cancers based on robust gene functional expression profiles

Towards precise classification of cancers based on robust gene functional expression profiles

http://www.wikidata.org/entity/Q24811476

about

Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization.Pathway-based classification of cancer subtypes.Comparison and evaluation of pathway-level aggregation methods of gene expression data.Interpreting personal transcriptomes: personalized mechanism-scale profiling of RNA-seq data Network and data integration for biomarker signature discovery via network smoothed T-statistics.Accurate and reliable cancer classification based on probabilistic inference of pathway activity.Topologically inferring pathway activity toward precise cancer classification via integrating genomic and metabolomic data: prostate cancer as a case.GO-2D: identifying 2-dimensional cellular-localized functional modules in Gene Ontology.Quantitative gene expression assessment identifies appropriate cell line models for individual cervical cancer pathways.Unravelling the hidden heterogeneities of diffuse large B-cell lymphoma based on coupled two-way clustering Familial aggregation analysis of gene expressions.Extending bicluster analysis to annotate unclassified ORFs and predict novel functional modules using expression data.Gene expression module-based chemical function similarity search.Inferring pathway activity toward precise disease classification Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context.Identification of diagnostic subnetwork markers for cancer in human protein-protein interaction network Multi-level reproducibility of signature hubs in human interactome for breast cancer metastasis.PathVar: analysis of gene and protein expression variance in cellular pathways using microarray data.A decade of systems biology Core module biomarker identification with network exploration for breast cancer metastasis.Single sample expression-anchored mechanisms predict survival in head and neck cancer.Knowledge-driven genomic interactions: an application in ovarian cancer.Sensitive detection of pathway perturbations in cancers Multivariate inference of pathway activity in host immunity and response to therapeutics.Prognostic gene signatures for patient stratification in breast cancer: accuracy, stability and interpretability of gene selection approaches using prior knowledge on protein-protein interactions.Comparative evaluation of set-level techniques in predictive classification of gene expression samples.Pathway activity inference for multiclass disease classification through a mathematical programming optimisation framework.Peeling off the hidden genetic heterogeneities of cancers based on disease-relevant functional modules.REACTIN: regulatory activity inference of transcription factors underlying human diseases with application to breast cancer.Pathway-based analysis of the hidden genetic heterogeneities in cancers Big-data-based edge biomarkers: study on dynamical drug sensitivity and resistance in individuals.Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer.Classifier Design Given an Uncertainty Class of Feature Distributions via Regularized Maximum Likelihood and the Incorporation of Biological Pathway Knowledge in Steady-State Phenotype Classification Gene-set activity toolbox (GAT): A platform for microarray-based cancer diagnosis using an integrative gene-set analysis approach.Comparative network stratification analysis for identifying functional interpretable network biomarkers.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.Application of RNAi-induced gene expression profiles for prognostic prediction in breast cancer

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P2860

Towards precise classification of cancers based on robust gene functional expression profiles

http://www.wikidata.org/entity/Q24811476

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BMC Bioinformatics

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Towards precise classification ...... functional expression profiles

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Chenguang Wang

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Haiyun Wang

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Hui Yu

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Jing Zhu

http://www.w3.org/2001/XMLSchema#string

Qi Wang

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Qing Wang

http://www.w3.org/2001/XMLSchema#string

Tianwen Zhang

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Xia Li

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Zheng Guo

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P2860

Gene ontology: tool for the unification of biology

Exploratory differential gene expression analysis in microarray experiments with no or limited replication

Applying Support Vector Machines for Gene Ontology based gene function prediction

GoMiner: a resource for biological interpretation of genomic and proteomic data

Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling

Network biology: understanding the cell's functional organization

Knowledge-based analysis of microarray gene expression data by using support vector machines

Stochastic gene expression in a single cell

Systematic variation in gene expression patterns in human cancer cell lines

From molecular to modular cell biology

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10.1186/1471-2105-6-58

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