标题
More Is Better: Recent Progress in Multi-Omics Data Integration Methods
作者
关键词
-
出版物
Frontiers in Genetics
Volume 8, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2017-06-16
DOI
10.3389/fgene.2017.00084
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Integrative analysis for identifying joint modular patterns of gene-expression and drug-response data
- (2016) Jinyu Chen et al. BIOINFORMATICS
- Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma
- (2016) Dokyoon Kim et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Meta-dimensional data integration identifies critical pathways for susceptibility, tumorigenesis and progression of endometrial cancer
- (2016) Runmin Wei et al. Oncotarget
- Novel personalized pathway-based metabolomics models reveal key metabolic pathways for breast cancer diagnosis
- (2016) Sijia Huang et al. Genome Medicine
- Integrating different data types by regularized unsupervised multiple kernel learning with application to cancer subtype discovery
- (2015) Nora K. Speicher et al. BIOINFORMATICS
- Methods of integrating data to uncover genotype–phenotype interactions
- (2015) Marylyn D. Ritchie et al. NATURE REVIEWS GENETICS
- Integrative Multi-omics Module Network Inference with Lemon-Tree
- (2015) Eric Bonnet et al. PLoS Computational Biology
- Network-Based Integration of Disparate Omic Data To Identify "Silent Players" in Cancer
- (2015) Matthew Ruffalo et al. PLoS Computational Biology
- Bayesian joint analysis of heterogeneous genomics data
- (2014) Priyadip Ray et al. BIOINFORMATICS
- Similarity network fusion for aggregating data types on a genomic scale
- (2014) Bo Wang et al. NATURE METHODS
- A Novel Model to Combine Clinical and Pathway-Based Transcriptomic Information for the Prognosis Prediction of Breast Cancer
- (2014) Sijia Huang et al. PLoS Computational Biology
- Knowledge-driven genomic interactions: an application in ovarian cancer
- (2014) Dokyoon Kim et al. BioData Mining
- Joint and individual variation explained (JIVE) for integrated analysis of multiple data types
- (2013) Eric F. Lock et al. Annals of Applied Statistics
- A pathway-based data integration framework for prediction of disease progression
- (2013) José A. Seoane et al. BIOINFORMATICS
- Bayesian consensus clustering
- (2013) Eric F. Lock et al. BIOINFORMATICS
- Group sparse canonical correlation analysis for genomic data integration
- (2013) Dongdong Lin et al. BMC BIOINFORMATICS
- Predicting Cancer Prognosis Using Interactive Online Tools: A Systematic Review and Implications for Cancer Care Providers
- (2013) B. A. Rabin et al. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
- The Cancer Genome Atlas Pan-Cancer analysis project
- (2013) John N Weinstein et al. NATURE GENETICS
- Dissecting cancer heterogeneity with a probabilistic genotype-phenotype model
- (2013) Dong-Yeon Cho et al. NUCLEIC ACIDS RESEARCH
- Identifying In-Trans Process Associated Genes in Breast Cancer by Integrated Analysis of Copy Number and Expression Data
- (2013) Miriam Ragle Aure et al. PLoS One
- Pattern discovery and cancer gene identification in integrated cancer genomic data
- (2013) Qianxing Mo et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network
- (2013) Dokyoon Kim et al. BioData Mining
- Bayesian correlated clustering to integrate multiple datasets
- (2012) Paul Kirk et al. BIOINFORMATICS
- Identifying multi-layer gene regulatory modules from multi-dimensional genomic data
- (2012) W. Li et al. BIOINFORMATICS
- Structure-constrained sparse canonical correlation analysis with an application to microbiome data analysis
- (2012) J. Chen et al. BIOSTATISTICS
- Synergistic effect of different levels of genomic data for cancer clinical outcome prediction
- (2012) Dokyoon Kim et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Discovery of multi-dimensional modules by integrative analysis of cancer genomic data
- (2012) Shihua Zhang et al. NUCLEIC ACIDS RESEARCH
- HIPPIE: Integrating Protein Interaction Networks with Experiment Based Quality Scores
- (2012) Martin H. Schaefer et al. PLoS One
- Integrative Subtype Discovery in Glioblastoma Using iCluster
- (2012) Ronglai Shen et al. PLoS One
- CNAmet: an R package for integrating copy number, methylation and expression data
- (2011) Riku Louhimo et al. BIOINFORMATICS
- A novel computational framework for simultaneous integration of multiple types of genomic data to identify microRNA-gene regulatory modules
- (2011) Shihua Zhang et al. BIOINFORMATICS
- Cancer genomics: from discovery science to personalized medicine
- (2011) Lynda Chin et al. NATURE MEDICINE
- Time to Recurrence and Survival in Serous Ovarian Tumors Predicted from Integrated Genomic Profiles
- (2011) Parminder K. Mankoo et al. PLoS One
- Patient-Specific Data Fusion Defines Prognostic Cancer Subtypes
- (2011) Yinyin Yuan et al. PLoS Computational Biology
- Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM
- (2010) Charles J. Vaske et al. BIOINFORMATICS
- A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network
- (2010) Zhu-Hong You et al. BMC BIOINFORMATICS
- An integrative multi-dimensional genetic and epigenetic strategy to identify aberrant genes and pathways in cancer
- (2010) Raj Chari et al. BMC Systems Biology
- An Integrated Approach to Uncover Drivers of Cancer
- (2010) Uri David Akavia et al. CELL
- International network of cancer genome projects
- (2010) Thomas J. Hudson (Chairperson) et al. NATURE
- Large-scale data integration framework provides a comprehensive view on glioblastoma multiforme
- (2010) Kristian Ovaska et al. Genome Medicine
- Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis
- (2009) Ronglai Shen et al. BIOINFORMATICS
- Sparse canonical methods for biological data integration: application to a cross-platform study
- (2009) Kim-Anh Lê Cao et al. BMC BIOINFORMATICS
- Sparse Canonical Correlation Analysis with Application to Genomic Data Integration
- (2009) Elena Parkhomenko et al. Statistical Applications in Genetics and Molecular Biology
- Extensions of Sparse Canonical Correlation Analysis with Applications to Genomic Data
- (2009) Daniela M Witten et al. Statistical Applications in Genetics and Molecular Biology
- Kernel methods in machine learning
- (2008) Thomas Hofmann et al. ANNALS OF STATISTICS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now