about
Bayesian disease classification using copy number data.A hypergraph-based learning algorithm for classifying gene expression and arrayCGH data with prior knowledge.Determining frequent patterns of copy number alterations in cancer.Graph constrained discriminant analysis: a new method for the integration of a graph into a classification process.Classification with correlated features: unreliability of feature ranking and solutions.Aneuploidy prediction and tumor classification with heterogeneous hidden conditional random fields.Preprocessing and downstream analysis of microarray DNA copy number profiles.Lex-SVM: exploring the potential of exon expression profiling for disease classification.Fused lasso algorithm for Cox' proportional hazards and binomial logit models with application to copy number profiles.Integrative classification and analysis of multiple arrayCGH datasets with probe alignment.Applications of Support Vector Machine (SVM) Learning in Cancer Genomics.Genes sharing the protein family domain decrease the performance of classification with RNA-seq genomic signatures.
P2860
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P2860
description
2008 nî lūn-bûn
@nan
2008 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Classification of arrayCGH data using fused SVM.
@ast
Classification of arrayCGH data using fused SVM.
@en
type
label
Classification of arrayCGH data using fused SVM.
@ast
Classification of arrayCGH data using fused SVM.
@en
prefLabel
Classification of arrayCGH data using fused SVM.
@ast
Classification of arrayCGH data using fused SVM.
@en
P2860
P356
P1433
P1476
Classification of arrayCGH data using fused SVM.
@en
P2093
Franck Rapaport
P2860
P304
P356
10.1093/BIOINFORMATICS/BTN188
P407
P577
2008-07-01T00:00:00Z