Results 1 to 10 of about 136,222 (214)

A quadratically regularized functional canonical correlation analysis for identifying the global structure of pleiotropy with NGS data. [PDF]

PLoS Computational Biology, 2017
Investigating the pleiotropic effects of genetic variants can increase statistical power, provide important information to achieve deep understanding of the complex genetic structures of disease, and offer powerful tools for designing effective ...
Nan Lin, Yun Zhu, Ruzong Fan, Momiao Xiong   +3 more
doaj   +2 more sources

Integrative functional and molecular characterization of Bali bull semen and its relationship with reproductive performance [PDF]

Veterinary World
Background and Aim: Bali cattle (Bos javanicus) are an important indigenous genetic resource in Indonesia, characterized by high adaptability and reproductive efficiency. However, conventional semen evaluation based on motility and morphology often fails
Hendri Hendri, Ananda Ananda, Erni Damayanti, Herry Sonjaya, Zulfi Nur Amrina Rosyada, Mirni Lamid, Moh Anam Al Arif, Widya Paramita Lokapirnasari, Ashariah Hapila, Tulus Maulana, Hikmayani Iskandar   +10 more
doaj   +2 more sources

Synonymous codon usage defines functional gene families [PDF]

BMC Biology
Background The degeneracy of the genetic code is increasingly recognized for roles in regulating translation rate, protein folding, and cell response. However, the functional genomics of codon usage patterns remains poorly defined.
Farzan Ghanegolmohammadi, Shinsuke Ohnuki, Shane Byrne, Rahul Raman, Thomas J. Begley, Peter C. Dedon   +5 more
doaj   +2 more sources

Relating whole-brain functional connectivity to self-reported negative emotion in a large sample of young adults using group regularized canonical correlation analysis

NeuroImage, 2021
The goal of our study was to use functional connectivity to map brain function to self-reports of negative emotion. In a large dataset of healthy individuals derived from the Human Connectome Project (N = 652), first we quantified functional connectivity
Leonardo Tozzi, Elena Tuzhilina, Matthew F. Glasser, Trevor J. Hastie, Leanne M. Williams   +4 more
doaj   +1 more source

Affective Neural Responses Sonified through Labeled Correlation Alignment

Sensors, 2023
Sound synthesis refers to the creation of original acoustic signals with broad applications in artistic innovation, such as music creation for games and videos.
Andrés Marino Álvarez-Meza, Héctor Fabio Torres-Cardona, Mauricio Orozco-Alzate, Hernán Darío Pérez-Nastar, German Castellanos-Dominguez   +4 more
doaj   +1 more source

Improving the Sensitivity of Task-Related Functional Magnetic Resonance Imaging Data Using Generalized Canonical Correlation Analysis

Frontiers in Human Neuroscience, 2021
General Linear Modeling (GLM) is the most commonly used method for signal detection in Functional Magnetic Resonance Imaging (fMRI) experiments, despite its main limitation of not taking into consideration common spatial dependencies between voxels ...
Emmanouela Kosteletou, Panagiotis G. Simos, Panagiotis G. Simos, Eleftherios Kavroulakis, Despina Antypa, Thomas G. Maris, Athanasios P. Liavas, Paris A. Karakasis, Efrosini Papadaki, Efrosini Papadaki   +9 more
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Patterns of connectome variability in autism across five functional activation tasks: findings from the LEAP project

Molecular Autism, 2022
Background Autism spectrum disorder (autism) is a complex neurodevelopmental condition with pronounced behavioral, cognitive, and neural heterogeneities across individuals.
Tristan Looden, Dorothea L. Floris, Alberto Llera, Roselyne J. Chauvin, Tony Charman, Tobias Banaschewski, Declan Murphy, Andre. F. Marquand, Jan K. Buitelaar, Christian F. Beckmann, the AIMS-2-TRIALS group   +10 more
doaj   +1 more source

Pan-Cancer Analysis for Immune Cell Infiltration and Mutational Signatures Using Non-Negative Canonical Correlation Analysis

Applied Sciences, 2022
Mutational signatures indicate the mutational processes and substitution patterns in cancer cell genomes. However, the functional consequences of mutational signatures remain unclear, and there have been no comprehensive systematic studies to examine the
Je-Keun Rhee
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Functional data analysis: An application to COVID‐19 data in the United States in 2020

Quantitative Biology, 2022
Background In this paper, we conduct an analysis of the COVID‐19 data in the United States in 2020 via functional data analysis methods. Through this research, we investigate the effectiveness of the practice of public health measures, and assess the ...
Chen Tang, Tiandong Wang, Panpan Zhang
doaj   +1 more source

Kernel functional canonical correlation analysis

Acta Universitatis Lodziensis. Folia Oeconomica, 2016
Canonical correlation methods for data representing functions or curves have received much attention in recent years. Such data, known in the literature as functional data (Ramsay and Silverman, 2005), has been the subject of much recent research ...
Mirosław Krzyśko, Łukasz Waszak
doaj   +1 more source