Results 41 to 50 of about 597,726 (265)
Mining gene expression data by interpreting principal components
BMC Bioinformatics, 2006 Background There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many instances the biologically important goal is to identify relatively small sets of
Mortazavi Ali +5 more
doaj +1 more source
Compressive principal component pursuit [PDF]
2012 IEEE International Symposium on Information Theory Proceedings, 2012 30 pages, 1 figure, preliminary version submitted to ISIT ...
John Wright 0001 +3 more
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Fertility preservation (FP) is increasingly integrated into the care of pediatric patients exposed to gonadotoxic therapy or conditioning for hematopoietic stem cell transplantation (HSCT), yet perioperative data in infants and toddlers remain scarce.
Kerstin Saalabian +13 more
wiley +1 more source
Detecting influential observations in principal components and common principal components
Computational Statistics & Data Analysis, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Graciela Boente +2 more
openaire +3 more sources
Nonlocal foveated principal components [PDF]
2014 IEEE Workshop on Statistical Signal Processing (SSP), 2014 Patch foveation corresponds to a spatially variant representation where the center of the patch is sharp while the periphery is blurred. This mimics the non-uniformity of the human visual system, whose acuity is maximal at the fixation point (imaged by the fovea, i.e. the central part of the retina) and low at the periphery of the visual field.
Alessandro Foi, Giacomo Boracchi
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi +10 more
wiley +1 more source
Detecting Genotype-Population Interaction Effects by Ancestry Principal Components
Frontiers in Genetics, 2020 Heterogeneity in the phenotypic mean and variance across populations is often observed for complex traits. One way to understand heterogeneous phenotypes lies in uncovering heterogeneity in genetic effects.
Chenglong Yu +8 more
doaj +1 more source
Dual Principal Component Pursuit [PDF]
2015 IEEE International Conference on Computer Vision Workshop (ICCVW), 2015 We consider the problem of learning a linear subspace from data corrupted by outliers. Classical approaches are typically designed for the case in which the subspace dimension is small relative to the ambient dimension. Our approach works with a dual representation of the subspace and hence aims to find its orthogonal complement; as such, it is ...
Manolis C. Tsakiris, René Vidal
openaire +4 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Type 1 plasminogen deficiency (PLGD‐1) is an ultra‐rare autosomal recessive disorder caused by variants in the PLG gene and affects approximately 1.6 individuals per million. The condition is characterized by decreased plasminogen levels and impaired function, resulting in fibrin‐rich lesions on mucous membranes throughout the body.
Charles Nakar +7 more
wiley +1 more source
Principal components of nuclear mass model residuals
Physics Letters BPrincipal Component Analysis (PCA) is applied to the residuals of six widely used nuclear mass models to uncover systematic deviations and identify missing physical effects in theoretical nuclear mass predictions. By analyzing the principal components of
Y. Y. Huang, X. H. Wu
doaj +1 more source