Discovery of multi-dimensional modules by integrative analysis of cancer genomic data. - Wikidata - wikimedia - TriplyDB

Discovery of multi-dimensional modules by integrative analysis of cancer genomic data.

Discovery of multi-dimensional modules by integrative analysis of cancer genomic data.

http://www.wikidata.org/entity/Q34373598

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Integrative analyses of cancer data: a review from a statistical perspective Visualizing multidimensional cancer genomics data Discovering MicroRNA-Regulatory Modules in Multi-Dimensional Cancer Genomic Data: A Survey of Computational Methods Integrated miRNA and mRNA Analysis of Time Series Microarray Data Dimension reduction techniques for the integrative analysis of multi-omics data Breakthroughs in genomics data integration for predicting clinical outcome Nanoparticles for Improving Cancer Diagnosis.Relative impact of multi-layered genomic data on gene expression phenotypes in serous ovarian tumors.Identification of mutated core cancer modules by integrating somatic mutation, copy number variation, and gene expression data.Integrative Pathway Analysis Using Graph-Based Learning with Applications to TCGA Colon and Ovarian Data Integrative clustering methods for high-dimensional molecular data.Integrative Analysis of "-Omics" Data Using Penalty Functions.ChIP-Array 2: integrating multiple omics data to construct gene regulatory networks A non-negative matrix factorization method for detecting modules in heterogeneous omics multi-modal data.Integrating heterogeneous genomic data to accurately identify disease subtypes Integrative analysis for identifying joint modular patterns of gene-expression and drug-response data.Integrative clustering of high-dimensional data with joint and individual clusters.SIFORM: shared informative factor models for integration of multi-platform bioinformatic data.A review on machine learning principles for multi-view biological data integration.Discovery of cancer common and specific driver gene sets.More Is Better: Recent Progress in Multi-Omics Data Integration Methods Toward a systematic understanding of cancers: a survey of the pan-cancer study Integrated genomic analysis of biological gene sets with applications in lung cancer prognosis Discovery of co-occurring driver pathways in cancer Identification of ovarian cancer associated genes using an integrated approach in a Boolean framework.Systematic analysis of new drug indications by drug-gene-disease coherent subnetworks.Association signals unveiled by a comprehensive gene set enrichment analysis of dental caries genome-wide association studies.Characterizing dynamic regulatory programs in mouse lung development and their potential association with tumourigenesis via miRNA-TF-mRNA circuits.jNMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics data.CloudNMF: a MapReduce implementation of nonnegative matrix factorization for large-scale biological datasets.A computational approach to identifying gene-microRNA modules in cancer.Tumor characterization and stratification by integrated molecular profiles reveals essential pan-cancer features.Big-data-based edge biomarkers: study on dynamical drug sensitivity and resistance in individuals.Integrative phenotyping framework (iPF): integrative clustering of multiple omics data identifies novel lung disease subphenotypes Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification.Integrative and regularized principal component analysis of multiple sources of data RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach Integrative clustering of multi-level 'omic data based on non-negative matrix factorization algorithm Pattern fusion analysis by adaptive alignment of multiple heterogeneous omics data.InterSIM: Simulation tool for multiple integrative 'omic datasets'.

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Discovery of multi-dimensional modules by integrative analysis of cancer genomic data.

http://www.wikidata.org/entity/Q34373598

description

2012 nî lūn-bûn

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2012 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

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2012 թվականի օգոստոսին հրատարակված գիտական հոդված

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2012年論文

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name

Discovery of multi-dimensional modules by integrative analysis of cancer genomic data.

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Discovery of multi-dimensional modules by integrative analysis of cancer genomic data.

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Discovery of multi-dimensional modules by integrative analysis of cancer genomic data.

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Discovery of multi-dimensional modules by integrative analysis of cancer genomic data.

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Discovery of multi-dimensional modules by integrative analysis of cancer genomic data.

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Discovery of multi-dimensional modules by integrative analysis of cancer genomic data.

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Discovery of multi-dimensional modules by integrative analysis of cancer genomic data.

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Discovery of multi-dimensional modules by integrative analysis of cancer genomic data.

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Discovery of multi-dimensional modules by integrative analysis of cancer genomic data.

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Discovery of multi-dimensional modules by integrative analysis of cancer genomic data.

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Chun-Chi Liu

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Hui Shen

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Peter W Laird

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Shihua Zhang

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Wenyuan Li

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Xianghong Jasmine Zhou

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Nidogen 1 and 2 gene promoters are aberrantly methylated in human gastrointestinal cancer

Gene ontology: tool for the unification of biology

Breast cancer bone metastasis mediated by the Smad tumor suppressor pathway

A census of human cancer genes

Comprehensive genomic characterization defines human glioblastoma genes and core pathways

Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data

E2F4 and E2F5 play an essential role in pocket protein-mediated G1 control

Learning the parts of objects by non-negative matrix factorization

Cycling to cancer with cyclin D1

Patterns of known and novel small RNAs in human cervical cancer

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