Results 31 to 40 of about 462,841 (245)
Canonical correlation analysis for gene-based pleiotropy discovery.
PLoS Computational Biology, 2014 Genome-wide association studies have identified a wealth of genetic variants involved in complex traits and multifactorial diseases. There is now considerable interest in testing variants for association with multiple phenotypes (pleiotropy) and for ...
Jose A Seoane +4 more
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On Measure Transformed Canonical Correlation Analysis
, 2012 In this paper linear canonical correlation analysis (LCCA) is generalized by applying a structured transform to the joint probability distribution of the considered pair of random vectors, i.e., a transformation of the joint probability measure defined ...
Hero, Alfred O., Todros, Koby
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Associating Images with Sentences Using Recurrent Canonical Correlation Analysis
Applied Sciences, 2020 Associating images with sentences has drawn much attention recently. Existing methods commonly represent an image by indistinctively describing all its contents in an one-time static way, which ignores two facts that (1) the association analysis can only
Yawen Guo, Hui Yuan, Kun Zhang
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Solving the SSVEP Paradigm Using the Nonlinear Canonical Correlation Analysis Approach
Sensors, 2021 This paper presents the implementation of nonlinear canonical correlation analysis (NLCCA) approach to detect steady-state visual evoked potentials (SSVEP) quickly.
Danni Rodrigo De la Cruz-Guevara +2 more
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Development of Automatic Wheeze Detection Algorithm for Children With Asthma
IEEE Access, 2021 Asthma is a symptom of tracheal obstruction caused by bronchospasm, and it is among the most prevalent chronic obstructive pulmonary diseases. Auscultation is the most commonly used approach for the clinical diagnosis of asthma.
Ho-Chang Kuo +3 more
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Continuous canonical correlation analysis [PDF]
, 2005 Given a bivariate distribution, the set of canonical correlations and functions is in general finite or countable. By using an inner product between two functions via an extension of the covariance, we find all the canonical correlations and functions
Caudras, C.M.
core
FEBS Letters, EarlyView.This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
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Robust and sparse canonical correlation analysis based L(2,p)-norm
The Journal of Engineering, 2017 The objective function of canonical correlation analysis (CCA) is equivalent to minimising an L(2)-norm distance of the paired data. Owing to the characteristic of L(2)-norm, CCA is highly sensitive to noise and irrelevant features.
Zhong-rong Shi +3 more
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Generalized canonical correlation analysis with missing values [PDF]
, 2012 Generalized canonical correlation analysis is a versatile technique that allows the joint analysis of several sets of data matrices. The generalized canonical correlation analysis solution can be obtained through an eigenequation and distributional ...
Takane, Y., Velden, M. (Michel) van de
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Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing
FEBS Letters, EarlyView.Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley +1 more source