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
IMIX: a multivariate mixture model approach to association analysis through multi-omics data integration
Sign Up to like & getrecommendations! Published in 2021 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btaa1001
Abstract: MOTIVATION Integrative genomic analysis is a powerful tool used to study the biological mechanisms underlying a complex disease or trait across multiplatform high-dimensional data, such as DNA methylation, copy number variation, and gene expression. It… read more here.
Keywords: fdr; analysis; association analysis; model ... See more keywords
Are clusterings of multiple data views independent?
Sign Up to like & getrecommendations! Published in 2019 at "Biostatistics"
DOI: 10.1093/biostatistics/kxz001
Abstract: In the Pioneer 100 (P100) Wellness Project, multiple types of data are collected on a single set of healthy participants at multiple timepoints in order to characterize and optimize wellness. One way to do this… read more here.
Keywords: multiple data; clusterings multiple; views independent; clustering participants ... 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
My Data Choices: Pilot evaluation of patient-controlled medical record sharing technology
Sign Up to like & getrecommendations! Published in 2022 at "Health Informatics Journal"
DOI: 10.1177/14604582221143893
Abstract: Patients desire greater control over sharing their digital health data. Consent2Share (C2S) is an open-source consent tool offered by SAMHSA and the VA to support granular data sharing (GDS) options that align with patient preferences… read more here.
Keywords: data sharing; health; type sharing; data type ... See more keywords
A deep learning mixed-data type approach for the classification of FHR signals
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Bioengineering and Biotechnology"
DOI: 10.3389/fbioe.2022.887549
Abstract: The Cardiotocography (CTG) is a widely diffused monitoring practice, used in Ob-Gyn Clinic to assess the fetal well-being through the analysis of the Fetal Heart Rate (FHR) and the Uterine contraction signals. Due to the… read more here.
Keywords: classification; data type; deep learning; mixed data ... See more keywords