A kernel-based integration of genome-wide data for clinical decision support.
about
Predicting chemoinsensitivity in breast cancer with 'omics/digital pathology data fusionBreakthroughs in genomics data integration for predicting clinical outcomeTrends in modeling Biomedical Complex SystemsiBAG: integrative Bayesian analysis of high-dimensional multiplatform genomics data.Protein fold recognition using geometric kernel data fusion.Information content and analysis methods for multi-modal high-throughput biomedical data.Data integration of structured and unstructured sources for assigning clinical codes to patient staysImproved microarray-based decision support with graph encoded interactome dataL2-norm multiple kernel learning and its application to biomedical data fusion.Time to recurrence and survival in serous ovarian tumors predicted from integrated genomic profiles.Graph based fusion of miRNA and mRNA expression data improves clinical outcome prediction in prostate cancer.Evaluation of data integration strategies based on kernel method of clinical and microarray data.Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations.Proteomic biomarkers predicting lymph node involvement in serum of cervical cancer patients. Limitations of SELDI-TOF MS.Predicting breast cancer using an expression values weighted clinical classifier.Identifying biomarkers as diagnostic tools in kidney transplantationLatent Feature Decompositions for Integrative Analysis of Multi-Platform Genomic DataIntegrating multidimensional omics data for cancer outcome.Patient Similarity: Emerging Concepts in Systems and Precision Medicine.miRNA-target gene regulatory networks: A Bayesian integrative approach to biomarker selection with application to kidney cancer.Determination of prognosis in metastatic melanoma through integration of clinico-pathologic, mutation, mRNA, microRNA, and protein information.Multi-omics integration-a comparison of unsupervised clustering methodologies.
P2860
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P2860
A kernel-based integration of genome-wide data for clinical decision support.
description
2009 nî lūn-bûn
@nan
2009 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի ապրիլին 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
A kernel-based integration of genome-wide data for clinical decision support.
@ast
A kernel-based integration of genome-wide data for clinical decision support.
@en
type
label
A kernel-based integration of genome-wide data for clinical decision support.
@ast
A kernel-based integration of genome-wide data for clinical decision support.
@en
prefLabel
A kernel-based integration of genome-wide data for clinical decision support.
@ast
A kernel-based integration of genome-wide data for clinical decision support.
@en
P2093
P2860
P356
P1433
P1476
A kernel-based integration of genome-wide data for clinical decision support.
@en
P2093
Anneleen Daemen
Annelies Debucquoy
Bart De Moor
Fabian Ojeda
Jean-Pascal Machiels
Johan Ak Suykens
Karin Haustermans
P2860
P2888
P356
10.1186/GM39
P577
2009-04-03T00:00:00Z
P5875
P6179
1046777418