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Published in 2017 at "Journal of cardiology"
DOI: 10.1016/j.jjcc.2017.01.002
Abstract: BACKGROUND Limited data are available regarding the prediction for functional recovery using late gadolinium enhanced magnetic resonance imaging (LGE MRI) after coronary revascularization for chronic total occlusion (CTO PCI). METHODS We studied 59 patients (mean…
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Keywords:
prediction functional;
cto pci;
using late;
functional recovery ... See more keywords
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Published in 2020 at "NPJ Breast Cancer"
DOI: 10.1038/s41523-020-0159-x
Abstract: In silico predictions of missense variants is an important consideration when interpreting variants of uncertain significance (VUS) in the BRCA1 and BRCA2 genes. We trained and evaluated hundreds of machine learning algorithms based on results…
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Keywords:
prediction functional;
functional impact;
missense variants;
brca1 brca2 ... See more keywords
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Published in 2021 at "Inverse Problems"
DOI: 10.1088/1361-6420/ac4153
Abstract: To cope with the challenges of memory bottleneck and algorithmic scalability when massive data sets are involved, we propose a distributed least squares procedure in the framework of functional linear model and reproducing kernel Hilbert…
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Keywords:
functional linear;
least squares;
distributed least;
squares prediction ... See more keywords
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Published in 2020 at "Genome"
DOI: 10.1139/gen-2020-0104
Abstract: Enhancers are cis-regulatory sequences located distally to target genes. These sequences consolidate developmental and environmental cues to coordinate gene expression in a tissue-specific manner. Enhancer function and tissue specificity depend on the expressed set of…
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Keywords:
prediction functional;
genome wide;
functional assessment;
transcriptional enhancers ... See more keywords