Discovering Cancer Subtypes via an Accurate Fusion Strategy on Multiple Profile Data

article published in 2019

Discovering Cancer Subtypes via an Accurate Fusion Strategy on Multiple Profile Data is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.3389/FGENE.2019.00020
P932PMC publication ID6370730
P698PubMed publication ID30804977

P2093author name stringFei Guo
Jijun Tang
Limin Jiang
Yijie Ding
Yongkang Xiao
P2860cites workBacteria and cancer: cause, coincidence or cure? A reviewQ21245476
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Integrating different data types by regularized unsupervised multiple kernel learning with application to cancer subtype discoveryQ30971287
Integrating heterogeneous genomic data to accurately identify disease subtypesQ31026902
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Simultaneous discovery of cancer subtypes and subtype features by molecular data integration.Q31126286
Progressive Approach for SNP Calling and Haplotype Assembly Using Single Molecular Sequencing DataQ52688289
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Predicting drug-disease associations by using similarity constrained matrix factorization.Q55312446
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Improvement of cancer subtype prediction by incorporating transcriptome expression data and heterogeneous biological networksQ60923551
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Sequence clustering in bioinformatics: an empirical studyQ91617672
Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple speciesQ91618176
Cancer Subtype Discovery Based on Integrative Model of Multigenomic DataQ31140806
Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysisQ33503982
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Accounting for tumor purity improves cancer subtype classification from DNA methylation dataQ36363371
An immune response gene expression module identifies a good prognosis subtype in estrogen receptor negative breast cancerQ36643153
Gene-expression analysis and the basal-like breast cancer subtypeQ36728818
Metagenes and molecular pattern discovery using matrix factorizationQ37356699
Analysis of Co-Associated Transcription Factors via Ordered Adjacency Differences on Motif DistributionQ37667845
CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation, and visualization.Q38729822
Prediction and Validation of Disease Genes Using HeteSim ScoresQ39987211
MicroRNAs and complex diseases: from experimental results to computational models.Q45944835
Fast prediction of protein methylation sites using a sequence-based feature selection technique.Q45948462
FSR: feature set reduction for scalable and accurate multi-class cancer subtype classification based on copy number.Q45961269
Tumor immune subtypes distinguish tumor subclasses with clinical implications in breast cancer patients.Q46318048
Probability-based collaborative filtering model for predicting gene-disease associationsQ47167678
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LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association predictionQ47238496
Unsupervised multiple kernel learning for heterogeneous data integrationQ47311036
Identification of Protein-Ligand Binding Sites by Sequence Information and Ensemble ClassifierQ47361926
Multi-class cancer classification via partial least squares with gene expression profilesQ48284122
Improving molecular cancer class discovery through sparse non-negative matrix factorizationQ48469932
A Novel Computational Method for Detecting DNA Methylation Sites with DNA Sequence Information and Physicochemical PropertiesQ48498263
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P407language of work or nameEnglishQ1860
P921main subjectThe Cancer Genome AtlasQ3979425
sparse matrixQ1050404
spectral clusteringQ2976589
P304page(s)20
P577publication date2019-01-01
P1433published inFrontiers in GeneticsQ2499875
P1476titleDiscovering Cancer Subtypes via an Accurate Fusion Strategy on Multiple Profile Data
P478volume10

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cites work (P2860)
Q92617984A Systems Analysis of the Relationships Between Anemia and Ischemic Stroke Rehabilitation Based on RNA-Seq Data
Q64092981An Ensemble Strategy to Predict Prognosis in Ovarian Cancer Based on Gene Modules
Q95272494MSFSP: A Novel miRNA-Disease Association Prediction Model by Federating Multiple-Similarities Fusion and Space Projection
Q97569120Prediction of age at onset in Parkinson's disease using objective specific neuroimaging genetics based on a sparse canonical correlation analysis
Q93076435Selecting Essential MicroRNAs Using a Novel Voting Method

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