Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis.
about
Tensor GSVD of patient- and platform-matched tumor and normal DNA copy-number profiles uncovers chromosome arm-wide patterns of tumor-exclusive platform-consistent alterations encoding for cell transformation and predicting ovarian cancer survivalStrategies for Integrated Analysis of Genetic, Epigenetic, and Gene Expression Variation in Cancer: Addressing the ChallengesIntegrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potentialThe promise of multi-omics and clinical data integration to identify and target personalized healthcare approaches in autism spectrum disordersDevelopment and mining of a volatile organic compound databaseComprehensive molecular characterization of gastric adenocarcinomaComprehensive genomic characterization of squamous cell lung cancers.Integrated genomic characterization of endometrial carcinomaStatistical Methods in Integrative GenomicsThe Use of Chemical-Chemical Interaction and Chemical Structure to Identify New Candidate Chemicals Related to Lung CancerBreakthroughs in genomics data integration for predicting clinical outcomeClustering of High Throughput Gene Expression DataThe genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroupsSignalling pathway database usability: lessons learned.Multilevel omic data integration in cancer cell lines: advanced annotation and emergent properties.JOINT AND INDIVIDUAL VARIATION EXPLAINED (JIVE) FOR INTEGRATED ANALYSIS OF MULTIPLE DATA TYPES.Bayesian methods for expression-based integration of various types of genomics data.Exploring TCGA Pan-Cancer data at the UCSC Cancer Genomics Browser.Similarity network fusion for aggregating data types on a genomic scale.SPARSE INTEGRATIVE CLUSTERING OF MULTIPLE OMICS DATA SETS.Integrative analysis of longitudinal metabolomics data from a personal multi-omics profileA meta-analysis of multiple matched copy number and transcriptomics data sets for inferring gene regulatory relationships.Integrative clustering methods for high-dimensional molecular data.Integrating different data types by regularized unsupervised multiple kernel learning with application to cancer subtype discovery.Pathway Relevance Ranking for Tumor Samples through Network-Based Data Integration.Integrating heterogeneous genomic data to accurately identify disease subtypesCharacterizing Cancer-Specific Networks by Integrating TCGA Data.Integrative methods for analyzing big data in precision medicine.Integration of genomic, transcriptomic and proteomic data identifies two biologically distinct subtypes of invasive lobular breast cancer.PINCAGE: probabilistic integration of cancer genomics data for perturbed gene identification and sample classification.Methods for the integration of multi-omics data: mathematical aspectsIntegrative clustering of high-dimensional data with joint and individual clusters.Multiplex methods provide effective integration of multi-omic data in genome-scale models.Integrative subtype discovery in glioblastoma using iCluster.A graph theoretical approach to data fusionIdentifying Cancer Subtypes from miRNA-TF-mRNA Regulatory Networks and Expression DataICM: a web server for integrated clustering of multi-dimensional biomedical dataWeighted similarity-based clustering of chemical structures and bioactivity data in early drug discovery.Integrative clustering of multi-level omics data for disease subtype discovery using sequential double regularization.Flexible model-based clustering of mixed binary and continuous data: application to genetic regulation and cancer.
P2860
Q21090556-E60910ED-2011-4A75-AA1F-DD6B2FEB8BFAQ26766390-E4031E45-8E96-4DE5-9741-73EF4971222DQ26782613-34DF1115-004B-4689-9CFD-9CEF47B6D97AQ27005952-542A554D-B1C1-41B4-BED8-BCBFF636224EQ28234865-C4F84C24-7A30-4AEA-ACB7-89314A4944D6Q28244985-C94FAE0E-96AC-420E-916A-B0994940BE42Q28274701-0791D55F-10EA-4E72-A8E2-F706B9ABC9AFQ28289962-AD78AD01-FB13-4D97-BE06-B3E1C6C46ECCQ28385219-714668DE-8ADD-4423-B663-6DBDA27FCA04Q28395836-7DDEEF89-6C9D-49D5-8D63-6A6C95F2687FQ28708853-47776D8E-C931-4835-9B22-F81C7882A6F8Q28714213-7F334572-857C-4EA2-AC6A-A96FFFCEF617Q29614700-8A2D0D65-B60C-40E8-AF6D-FBE0EB90C54EQ30486334-394E6D75-3EA4-4D8B-98B4-F016059A15FDQ30590335-CCA1BAF5-4619-43D8-A417-4E594EAE6699Q30642591-184F09B6-64EF-47C3-849A-790323E5E923Q30668548-922A7307-62BF-49A3-B03A-16B182C606D8Q30671000-EF35D7A8-A0AB-4C12-88AF-43CDA769004BQ30742291-E1331AD3-1203-4E95-AFE3-3081BB5AA44BQ30768936-C8F77EB6-B30E-4DE3-BA14-F96B2AD16B28Q30832988-929F3914-4099-4E30-AD77-E3C5FA489656Q30844284-1682ABD3-3FCE-4586-87AF-4803A08DCC45Q30854282-BB240488-425E-4BC8-BB73-B6B6FEFBDAE8Q30971287-FE66462F-BE06-44D9-AC0A-C6035FF98F17Q30983525-617576E5-34CB-450B-B7AC-D9CB9C886B8DQ31026902-CF98B175-775D-43CF-BBAB-0F0A86A7C26FQ31029870-07413346-69B8-44EB-A3A3-3881123BC77CQ31032576-193933C2-516B-416F-B8D5-F0EB3CDF0403Q31034941-3D8ED39A-8A00-4EF3-83AF-B0CA92A30CDFQ31035683-58E9DAE5-3838-4DF7-83BA-59A4EB7B71B0Q31040819-E400C6E6-1212-4D17-B0DA-CBC2BB7A0950Q31049305-5CF4F794-A31F-4F1B-8142-3F771FE2AF49Q31056287-2F54EEE1-1040-4B79-80EF-012813415FAAQ31059566-0B541DD0-5A2B-4B68-8DD0-781F503BC069Q31060656-7C9DB102-A299-49E2-84DD-88B30DE3BF4DQ31066480-220976FB-F77B-40C4-BC59-04261F25A51EQ31088370-C66FD5DA-0DC7-4AB0-A770-A0EC0A6C2687Q31108643-6F7A13E9-6F21-43BE-8207-AEF27A0C6BCBQ31122935-5B844216-7531-4C04-9A2B-BBC7F3D86669Q31150084-3371E891-3574-4235-96CC-2FB061C84C2C
P2860
Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis.
description
2009 nî lūn-bûn
@nan
2009 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի սեպտեմբերին 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
Integrative clustering of mult ...... lung cancer subtype analysis.
@ast
Integrative clustering of mult ...... lung cancer subtype analysis.
@en
type
label
Integrative clustering of mult ...... lung cancer subtype analysis.
@ast
Integrative clustering of mult ...... lung cancer subtype analysis.
@en
prefLabel
Integrative clustering of mult ...... lung cancer subtype analysis.
@ast
Integrative clustering of mult ...... lung cancer subtype analysis.
@en
P2860
P356
P1433
P1476
Integrative clustering of mult ...... lung cancer subtype analysis.
@en
P2093
Adam B Olshen
Ronglai Shen
P2860
P304
P356
10.1093/BIOINFORMATICS/BTP543
P407
P50
P577
2009-09-16T00:00:00Z