Results 41 to 50 of about 644,521 (264)

Mining gene expression data by interpreting principal components

open access: yesBMC 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

Principal components' features of mid-latitude geomagnetic daily variation [PDF]

open access: yesAnnales Geophysicae, 2010
The ionospheric and magnetospheric current systems are responsible of the daily magnetic field changes. Recently, the Natural Orthogonal Components (NOC) technique has been applied to model the physical system responsible of the daily variation of the
P. De Michelis   +3 more
doaj   +1 more source

Detecting influential observations in principal components and common principal components

open access: yesComputational Statistics & Data Analysis, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Graciela Boente   +2 more
openaire   +3 more sources

Ovarian Sex Cord Stromal Tumors in Children and Adolescents—The European Standard Clinical Practice Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider   +15 more
wiley   +1 more source

Compressive principal component pursuit [PDF]

open access: yes2012 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

Evidence‐Informed Multidisciplinary Consensus Guidance for the Psychosocial Care of Adolescents With High‐Risk Cancer: Recommendations From the Italian Association of Pediatric Hematology and Oncology

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adolescents with high‐risk cancer face complex developmental, psychosocial, and ethical challenges that extend beyond disease‐directed treatment. Although international recommendations exist for communication, psychosocial care, pediatric palliative care, survivorship, and shared decision‐making, these have largely evolved within ...
Johanna M. C. Blom   +15 more
wiley   +1 more source

Detecting Genotype-Population Interaction Effects by Ancestry Principal Components

open access: yesFrontiers 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

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld   +5 more
wiley   +1 more source

Principal components of nuclear mass model residuals

open access: yesPhysics Letters B
Principal 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

Coordinating Principal Component Analyzers [PDF]

open access: yes, 2002
Mixtures of Principal Component Analyzers can be used to model high dimensional data that lie on or near a low dimensional manifold. By linearly mapping the PCA subspaces to one global low dimensional space, we obtain a 'global' low dimensional coordinate sys- tem for the data.
Verbeek, Jakob   +2 more
openaire   +4 more sources

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