Integrating Multidimensional Data for Clustering Analysis With Applications to Cancer Patient Data
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2020.1730853
Abstract: Abstract Advances in high-throughput genomic technologies coupled with large-scale studies including The Cancer Genome Atlas (TCGA) project have generated rich resources of diverse types of omics data to better understand cancer etiology and treatment responses.… read more here.
Keywords: data types; integrating multidimensional; omics data; cancer ... See more keywords
Multilevel heterogeneous omics data integration with kernel fusion
Sign Up to like & getrecommendations! Published in 2020 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bby115
Abstract: High-throughput omics data are generated almost with no limit nowadays. It becomes increasingly important to integrate different omics data types to disentangle the molecular machinery of complex diseases with the hope for better disease prevention… read more here.
Keywords: data types; kernel; omics data; multilevel heterogeneous ... See more keywords
Pattern fusion analysis by adaptive alignment of multiple heterogeneous omics data
Sign Up to like & getrecommendations! Published in 2017 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btx176
Abstract: Motivation: Integrating different omics profiles is a challenging task, which provides a comprehensive way to understand complex diseases in a multi‐view manner. One key for such an integration is to extract intrinsic patterns in concordance… read more here.
Keywords: sample; data types; omics data; pattern fusion ... See more keywords
Bayesian inference of networks across multiple sample groups and data types.
Sign Up to like & getrecommendations! Published in 2018 at "Biostatistics"
DOI: 10.1093/biostatistics/kxy078
Abstract: In this article, we develop a graphical modeling framework for the inference of networks across multiple sample groups and data types. In medical studies, this setting arises whenever a set of subjects, which may be… read more here.
Keywords: across multiple; data types; inference networks; sample groups ... See more keywords
Documentation and review of social determinants of health data in the EHR: measures and associated insights.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocab194
Abstract: OBJECTIVE Electronic Health Records (EHRs) increasingly include designated fields to capture social determinants of health (SDOH). We developed measures to characterize their use, and use of other SDOH data types, to optimize SDOH data integration.… read more here.
Keywords: sdoh data; data types; sdoh; ehr ... See more keywords
NGSCheckMate: software for validating sample identity in next-generation sequencing studies within and across data types
Sign Up to like & getrecommendations! Published in 2017 at "Nucleic Acids Research"
DOI: 10.1093/nar/gkx193
Abstract: Abstract In many next-generation sequencing (NGS) studies, multiple samples or data types are profiled for each individual. An important quality control (QC) step in these studies is to ensure that datasets from the same subject… read more here.
Keywords: data types; ngscheckmate software; next generation; generation sequencing ... See more keywords
Research of Wind Power Correlation With Three Different Data Types Based on Mixed Copula
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2884539
Abstract: With the increasing integration of large-scale wind farms, the stochastic characteristics of wind speed and the coupling relationship of geographically distributed wind farms become ineligible. Correlation investigation of wind farms based on copula theory is… read more here.
Keywords: data types; wind; power; correlation ... See more keywords
Predicting the dynamics of establishing tree populations: A framework for statistical inference and lessons for data collection
Sign Up to like & getrecommendations! Published in 2021 at "Methods in Ecology and Evolution"
DOI: 10.1111/2041-210x.13656
Abstract: Under global change, there is an urgent need to forecast the dynamics of establishing tree populations. However, tree population dynamics are slow and historical data on these dynamics are rare. This raises the question whether… read more here.
Keywords: population; data types; data collection; establishing tree ... See more keywords
Are all data types and connectivity models created equal? Validating common connectivity approaches with dispersal data
Sign Up to like & getrecommendations! Published in 2018 at "Diversity and Distributions"
DOI: 10.1111/ddi.12742
Abstract: 1Department of Environmental Conservation, University of Massachusetts, Amherst, MA, USA 2Biology Department, San Diego State University, San Diego, CA, USA 3Karen C. Drayer Wildlife Health Center, School of Veterinary Medicine, University of California, Davis, CA,… read more here.
Keywords: data types; connectivity; models created; university ... See more keywords
A fair fight between molecular marker types in a seascape genetics setting
Sign Up to like & getrecommendations! Published in 2020 at "Molecular Ecology"
DOI: 10.1111/mec.15473
Abstract: From its inception, population genetics has been nearly as concerned with the genetic data type—to which analyses are brought to bear—as it is with the analysis methods themselves. The field has traversed allozymes, microsatellites, segregating… read more here.
Keywords: data types; nuclear loci; genetics; data type ... See more keywords
Directionally dependent multi-view clustering using copula model
Sign Up to like & getrecommendations! Published in 2020 at "PLoS ONE"
DOI: 10.1371/journal.pone.0238996
Abstract: Recent developments in high-throughput methods have resulted in the collection of high-dimensional data types from multiple sources and technologies that measure distinct yet complementary information. Integrated clustering of such multiple data types or multi-view clustering… read more here.
Keywords: multi view; model; view clustering; data types ... See more keywords