Data integration and visualization techniques for post‐cytometric analysis of complex datasets
Sign Up to like & getrecommendations! Published in 2021 at "Cytometry Part A"
DOI: 10.1002/cyto.a.24359
Abstract: The increasing number of measurable markers and the need to integrate flow cytometry datasets with data generated by other high throughput technologies, require the use of innovative tools, easy enough to be used by people… read more here.
Keywords: analysis; visualization; data integration; flow cytometry ... See more keywords
Big Data Cohort Extraction for Personalized Statin Treatment and Machine Learning.
Sign Up to like & getrecommendations! Published in 2019 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-9089-4_14
Abstract: The creation of big clinical data cohorts for machine learning and data analysis require a number of steps from the beginning to successful completion. Similar to data set preprocessing in other fields, there is an… read more here.
Keywords: machine; big data; machine learning; treatment ... See more keywords
Multi-omics approaches in cancer research with applications in tumor subtyping, prognosis, and diagnosis
Sign Up to like & getrecommendations! Published in 2021 at "Computational and Structural Biotechnology Journal"
DOI: 10.1016/j.csbj.2021.01.009
Abstract: Highlights • Single-level data analysis produced by high-throughput technologies is limited by showing only a narrow window of cellular functions.• Data integration across different platforms, including genomics, epigenomics, transcriptomics, proteomics, and metabolomics, provides opportunities to… read more here.
Keywords: multi; multi omics; approaches cancer; omics approaches ... See more keywords
M16 PATHVIEW WEB: USER FRIENDLY PATHWAY VISUALIZATION AND DATA INTEGRATION
Sign Up to like & getrecommendations! Published in 2019 at "European Neuropsychopharmacology"
DOI: 10.1016/j.euroneuro.2017.08.323
Abstract: Background Pathway analysis is widely used in omics studies. Pathway-based data integration and visualization is a critical component of the analysis. To address this need, we recently developed a novel R package called Pathview. Pathview… read more here.
Keywords: visualization; pathview web; pathview; data integration ... See more keywords
Supply chain data integration: A literature review
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Industrial Information Integration"
DOI: 10.1016/j.jii.2020.100161
Abstract: Abstract Supply chains (SCs) are dynamic networks subject to uncertainties and risks that may occur anywhere, anytime, and whose consequences affect the entities that comprise such SC, possibly affecting others. In fact, there are several… read more here.
Keywords: supply; data integration; integration; literature review ... See more keywords
Seamless Data Integration in the CAM-NC Process Chain in a Learning Factory
Sign Up to like & getrecommendations! Published in 2020 at "Procedia Manufacturing"
DOI: 10.1016/j.promfg.2020.04.038
Abstract: Abstract The seamless data integration of different components in the CAM-NC process chain (tool management software, tool dispensing system, presetting machine and machine tool) is essential for maximizing the efficiency and minimizing the total error… read more here.
Keywords: seamless data; process; process chain; data integration ... See more keywords
A multi-source data integration approach reveals novel associations between metabolites and renal outcomes in the German Chronic Kidney Disease study
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-50346-2
Abstract: Omics data facilitate the gain of novel insights into the pathophysiology of diseases and, consequently, their diagnosis, treatment, and prevention. To this end, omics data are integrated with other data types, e.g., clinical, phenotypic, and… read more here.
Keywords: integration; chronic kidney; approach reveals; integration approach ... See more keywords
SEPRES: Intensive Care Unit Clinical Data Integration System to Predict Sepsis
Sign Up to like & getrecommendations! Published in 2022 at "Applied Clinical Informatics"
DOI: 10.1055/a-1990-3037
Abstract: Abstract Background The lack of information interoperability between different devices and systems in the intensive care unit (ICU) hinders further utilization of data, especially for early warning of specific diseases in the ICU. Objectives We… read more here.
Keywords: sepsis; system; intensive care; data integration ... See more keywords
Reply to Robinson et al.: Data integration will form the basis of future abundance estimates
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2117920119
Abstract: We thank Robinson et al. (1) for their interest in our paper quantifying the global species abundance distribution (gSAD) of birds (2). We agree with some of their points regarding uncertainty and bias. As mentioned… read more here.
Keywords: integration form; data integration; abundance; robinson data ... See more keywords
How far have we come with contextual data integration in drug discovery?
Sign Up to like & getrecommendations! Published in 2018 at "Expert Opinion on Drug Discovery"
DOI: 10.1080/17460441.2018.1504767
Abstract: When someone is thinking of contextual data focuses on data that gives context to a person, entity or event. Thus, contextual data is collected from various sources of information, may have several applications and be… read more here.
Keywords: drug; contextual data; data integration; drug discovery ... See more keywords
A review on machine learning principles for multi-view biological data integration
Sign Up to like & getrecommendations! Published in 2018 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbw113
Abstract: Driven by high-throughput sequencing techniques, modern genomic and clinical studies are in a strong need of integrative machine learning models for better use of vast volumes of heterogeneous information in the deep understanding of biological… read more here.
Keywords: machine; machine learning; review machine; multi view ... See more keywords