Methods of integrating data to uncover genotype-phenotype interactions.
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Clinical Metabolomics: The New Metabolic Window for Inborn Errors of Metabolism Investigations in the Post-Genomic EraMultivariate Methods for Genetic Variants Selection and Risk Prediction in Cardiovascular DiseasesAdvantages and Pitfalls of Mass Spectrometry Based Metabolome Profiling in Systems BiologyBig Data Offers Novel Insights for Oncolytic Virus ImmunotherapyBlood transcriptomics and metabolomics for personalized medicineBioinformatics Mining and Modeling Methods for the Identification of Disease Mechanisms in Neurodegenerative DisordersIntegration of genome scale data for identifying new players in colorectal cancerDynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream AnalysisTranscriptomic Approaches to Neural RepairData integration in biological research: an overviewInferring Pairwise Interactions from Biological Data Using Maximum-Entropy Probability ModelsImplications of pleiotropy: challenges and opportunities for mining Big Data in biomedicineGenetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plansNext-generation sequencing to guide cancer therapyIntegration Analysis of Three Omics Data Using Penalized Regression Methods: An Application to Bladder CancerOmics-Based Strategies in Precision Medicine: Toward a Paradigm Shift in Inborn Errors of Metabolism InvestigationsThe reverse control of irreversible biological processesDiscovering MicroRNA-Regulatory Modules in Multi-Dimensional Cancer Genomic Data: A Survey of Computational MethodsTranslational bioinformatics in the era of real-time biomedical, health care and wellness data streamsNeuroblastoma, a Paradigm for Big Data Science in Pediatric Oncology.Systems Biology in Kidney Transplantation: The Application of Multi-Omics to a Complex Model.Identification of functionally methylated regions based on discriminant analysis through integrating methylation and gene expression data.Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.Integrating Diverse Types of Genomic Data to Identify Genes that Underlie Adverse Pregnancy PhenotypesDecoding Cellular Dynamics in Epidermal Growth Factor Signaling Using a New Pathway-Based Integration Approach for Proteomics and Transcriptomics Data.Machine learning and data mining in complex genomic data--a review on the lessons learned in Genetic Analysis Workshop 19.Integrative Analysis of Multi-omics Data for Discovery and Functional Studies of Complex Human Diseases.Weighted enrichment method for prediction of transcription regulators from transcriptome and global chromatin immunoprecipitation dataJumping across biomedical contexts using compressive data fusion.Meta-dimensional data integration identifies critical pathways for susceptibility, tumorigenesis and progression of endometrial cancerToward the integration of Omics data in epidemiological studies: still a "long and winding road".Integrative analysis of somatic mutations and transcriptomic data to functionally stratify breast cancer patientsBreast Cancer Prognostics Using Multi-Omics Data.Integrating Multi-omics Data to Dissect Mechanisms of DNA repair Dysregulation in Breast CancerA review on machine learning principles for multi-view biological data integration.Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma.Machine learning and systems genomics approaches for multi-omics data.Mining pathway associations for disease-related pathway activity analysis based on gene expression and methylation dataGene regulatory pattern analysis reveals essential role of core transcriptional factors' activation in triple-negative breast cancer.An inference method from multi-layered structure of biomedical data
P2860
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P2860
Methods of integrating data to uncover genotype-phenotype interactions.
description
2015 nî lūn-bûn
@nan
2015 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Methods of integrating data to uncover genotype-phenotype interactions.
@ast
Methods of integrating data to uncover genotype-phenotype interactions.
@en
type
label
Methods of integrating data to uncover genotype-phenotype interactions.
@ast
Methods of integrating data to uncover genotype-phenotype interactions.
@en
prefLabel
Methods of integrating data to uncover genotype-phenotype interactions.
@ast
Methods of integrating data to uncover genotype-phenotype interactions.
@en
P2093
P2860
P356
P1476
Methods of integrating data to uncover genotype-phenotype interactions.
@en
P2093
Dokyoon Kim
Emily R Holzinger
Ruowang Li
P2860
P2888
P356
10.1038/NRG3868
P577
2015-01-13T00:00:00Z
P6179
1017872565