Results 81 to 90 of about 15,041 (261)

$\ell_0$-based Sparse Canonical Correlation Analysis

open access: yes, 2020
Canonical Correlation Analysis (CCA) models are powerful for studying the associations between two sets of variables. The canonically correlated representations, termed \textit{canonical variates} are widely used in unsupervised learning to analyze unlabeled multi-modal registered datasets.
Lindenbaum, Ofir   +3 more
openaire   +2 more sources

Integration of Spatiotemporal Multi‐Omics in Peach Fruit Unravels a Metabolic Niche and the Genetic Basis of Trichome‐Mediated Stress Adaptation

open access: yesAdvanced Science, EarlyView.
This study constructed the first spatiotemporal multi‐omics map of peach fruit and discovered a key candidate gene that synergistically regulates trichome development and drought tolerance through the jasmonic acid signaling pathway, providing insights into the coupling mechanism between development and stress resistance.
Zhixin Liu   +9 more
wiley   +1 more source

Minimax estimation in sparse canonical correlation analysis

open access: yesThe Annals of Statistics, 2015
Canonical correlation analysis is a widely used multivariate statistical technique for exploring the relation between two sets of variables. This paper considers the problem of estimating the leading canonical correlation directions in high-dimensional settings. Recently, under the assumption that the leading canonical correlation directions are sparse,
Gao, Chao   +3 more
openaire   +4 more sources

MG53 Coordinates Macrophage Polarization and Neuroimmune Coupling to Promote Corneal Nerve Regeneration via the MPEG1–MVP–STAT6 Axis

open access: yesAdvanced Science, EarlyView.
Corneal nerve regeneration is critical to corneal wound healing processes. The current study reveals a novel role of MG53 in promoting corneal nerve regeneration after alkali induced injury. Mechanistically, MG53 enters macrophages via its receptor, MPEG1, promotes MVP K63 ubiquitination, and triggers STAT6 induced repair‐related genes expression ...
Peng Chen   +14 more
wiley   +1 more source

Sparse Canonical Correlation Analysis

open access: yes, 2008
Large scale genomic studies of the association of gene expression with multiple phenotypic or genotypic measures may require the identification of complex multivariate relationships.
Parkhomenko, Elena
core   +1 more source

Exploration of biomarkers of Alzheimer’s disease based on orthogonal multi-task canonical correlation analysis

open access: yesBMC Medical Imaging
As a neurodegenerative disease, Alzheimer’s disease (AD) has many symptoms, such as memory impairment, cognitive decline, and personality change. Image genetics is the correlation analysis between imageology and genetics, and image genetics research can ...
Tao Yang, GuangYu Wan, Xiong Zhou
doaj   +1 more source

Structure-constrained sparse canonical correlation analysis with an application to microbiome data analysis. [PDF]

open access: yesBiostatistics, 2013
Motivated by studying the association between nutrient intake and human gut microbiome composition, we developed a method for structure-constrained sparse canonical correlation analysis (ssCCA) in a high-dimensional setting. ssCCA takes into account the phylogenetic relationships among bacteria, which provides important prior knowledge on evolutionary ...
Chen J   +4 more
europepmc   +4 more sources

Astrocytic Phenotypic Switching in Posterior Piriform Cortex Orchestrates Bone Cancer Pain–Depression Comorbidity via Purinergic–Noradrenergic Signaling

open access: yesAdvanced Science, EarlyView.
Bone cancer pain and depression share a common origin: astrocytic A2‐to‐A1 transition in the posterior piriform cortex. This phenotypic shift disrupts the ATP–adenosine–A2AR–norepinephrine axis, simultaneously driving nociceptive and affective dysfunction.
Jiang‐Ping Liu   +14 more
wiley   +1 more source

Relative contributions of lesion location and lesion size to predictions of varied language deficits in post-stroke aphasia

open access: yesNeuroImage: Clinical, 2018
Despite the widespread use of lesion-symptom mapping (LSM) techniques to study associations between location of brain damage and language deficits, the prediction of language deficits from lesion location remains a substantial challenge.
Melissa Thye, Daniel Mirman
doaj   +1 more source

Integration of multidimensional splicing data and GWAS summary statistics for risk gene discovery.

open access: yesPLoS Genetics, 2022
A common strategy for the functional interpretation of genome-wide association study (GWAS) findings has been the integrative analysis of GWAS and expression data.
Ying Ji   +5 more
doaj   +1 more source

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