Robust Principal Component Analysis: An IRLS Approach
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.585
Abstract: Abstract The modern problems of optimization, estimation, signal processing, and image recognition deal with data of huge dimensions. It is important to develop effective methods and algorithms for such problems. An important idea is the… read more here.
Keywords: principal component; robust; approach; component analysis ... See more keywords
Deep graph representations embed network information for robust disease marker identification
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btab772
Abstract: MOTIVATION Accurate disease diagnosis and prognosis based on omics data rely on the effective identification of robust prognostic and diagnostic markers that reflect the states of the biological processes underlying the disease pathogenesis and progression.… read more here.
Keywords: gcncc; graph; robust; disease ... See more keywords
Human Hematopoietic Stem Cell Engrafted IL-15 Transgenic NSG Mice Support Robust NK Cell Responses and Sustained HIV-1 Infection
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DOI: 10.3390/v15020365
Abstract: Mice reconstituted with human immune systems are instrumental in the investigation of HIV-1 pathogenesis and therapeutics. Natural killer (NK) cells have long been recognized as a key mediator of innate anti-HIV responses. However, established humanized… read more here.
Keywords: nsg mice; cell; cell responses; robust ... See more keywords