Zobrazeno 1 - 10
of 40
pro vyhledávání: '"James L. Norris"'
Publikováno v:
Journal of Obesity, Vol 2012 (2012)
Objective. To investigate effects of weight loss on adipokines and health measures in obese older adults with symptomatic knee osteoarthritis. Methods. Participants were randomly assigned to either weight loss (WL) (men: 12, women: 14) or weight stab
Externí odkaz:
https://doaj.org/article/073ba2d75aa4441580b753f0105092f3
Autor:
Gloria K. Muday, Joëlle K. Muhlemann, Alexandria F. Harkey, James L. Norris, Bree Ann LaPointe, David J. John
Publikováno v:
CIIS Ulima Congreso Internacional de Ingeniería de Sistemas. :17-26
The construction of gene interaction models must be a fully collaborative and intentional effort. All aspects of the research, such as growing the plants, extracting the mea-surements, refining the measured data, developing the statistical framework,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baa3aa0263c3e5ea69f612a2c42c0754
https://doi.org/10.26439/ciis2018.5487
https://doi.org/10.26439/ciis2018.5487
Autor:
Maleana G. Khoury, Kenneth S. Berenhaut, Katherine E. Moore, Edward E. Allen, Alexandria F. Harkey, Joëlle K. Muhlemann, Courtney N. Craven, Jiayi Xu, Suchi S. Jain, David J. John, James L. Norris, Gloria K. Muday
Transcriptome studies which provide temporal information can be valuable for identifying groups of similarly-behaving transcripts and provide insight into overarching gene regulatory networks. Nevertheless, inferring meaningful biological conclusions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5078d3c6c09ba482b28ac2141f586645
https://doi.org/10.1101/2022.07.25.501352
https://doi.org/10.1101/2022.07.25.501352
Autor:
Edward E. Allen, Gloria K. Muday, James L. Norris, John Farrell, Alexandria F. Harkey, Bo Wu, David J. John
Publikováno v:
Algorithms for Computational Biology ISBN: 9783030422653
AlCoB
AlCoB
Network models of gene interactions, using time course gene transcript abundance data, are computationally created using a genetic algorithm designed to incorporate hierarchical Bayesian methods with time series adjustments. The posterior probabiliti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fb3ed3967698b4e492dd4d9154da7b3
https://doi.org/10.1007/978-3-030-42266-0_11
https://doi.org/10.1007/978-3-030-42266-0_11
Autor:
Gloria K. Muday, Edward E. Allen, Bree Ann LaPointe, Alexandria F. Harkey, James L. Norris, David J. John, Joëlle K. Muhlemann
Publikováno v:
BIBM
Gene interaction network models from time course gene transcript abundance data are algorithmically created using a new aggressive genetic algorithm denoted by BCHC. The BCHC algorithm rigorously integrates probabilistic hierarchical likelihood and B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4833540034e3830238b1a0414d0f591
https://doi.org/10.1109/bibm.2018.8621198
https://doi.org/10.1109/bibm.2018.8621198
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 11:336-346
Microarray technology allows for the collection of multiple replicates of gene expression time course data for hundreds of genes at a handful of time points. Developing hypotheses about a gene transcriptional network, based on time course gene expres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e281e2ca520fcd153afcac071447f90
https://doi.org/10.1109/tcbb.2014.2299804
https://doi.org/10.1109/tcbb.2014.2299804
Autor:
Debra I. Diz, Daniel B. Kim-Shapiro, Ashley R. Morgan, Gary D. Miller, James L. Norris, Swati Basu, Amret T. Hawfield, Timothy M. Morgan, Hossam A. Shaltout, W. Jack Rejeski, Patricia C. Dos Santos, Jonathan H. Burdette, Anthony P. Marsh, Joel Eggebeen, Paul J. Laurienti, Dalane W. Kitzman, J. Thomas Becton, Peter H. Brubaker
Publikováno v:
Nitric oxide : biology and chemistry. 69
Aerobic exercise training is an effective therapy to improve peak aerobic power (peak VO2) in individuals with hypertension (HTN, AHA/ACC class A) and heart failure patients with preserved ejection fraction (HFpEF). High nitrate containing beetroot j
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d28988cde04cb2499a57eeebd146f9a5
https://pubmed.ncbi.nlm.nih.gov/28549665
https://pubmed.ncbi.nlm.nih.gov/28549665
Autor:
W. Jack Rejeski, Anthony P. Marsh, Jonathan H. Burdette, Meredith R. Petrie, Daniel B. Kim-Shapiro, Paul J. Laurienti, James L. Norris, Swati Basu
Background Exercise has positive neuroplastic effects on the aging brain. It has also been shown that ingestion of beet root juice (BRJ) increases blood flow to the brain and enhances exercise performance. Here, we examined whether there are synergis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4626c66cd26a4291ada417d2a79f4f59
https://europepmc.org/articles/PMC5861951/
https://europepmc.org/articles/PMC5861951/
Autor:
W. Jack Rejeski, Donald A. Williamson, Satoru Hayasaka, James L. Norris, Jonathan H. Burdette, Marley Burns, Paul J. Laurienti, Ashley R. Morgan
Publikováno v:
Appetite. 58:806-813
The Power of Food Scale (PFS) is a new measure that assesses the drive to consume highly palatable food in an obesogenic food environment. The data reported in this investigation evaluate whether the PFS moderates state cravings, control beliefs, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1ec6dd06034225a282fe3547ea2e899
https://doi.org/10.1016/j.appet.2012.01.025
https://doi.org/10.1016/j.appet.2012.01.025
Publikováno v:
SoutheastCon 2015.
Development of models that explain relationships between changes in gene products often involve multiple replications of transcript abundance measurements across time courses. This paper develops a composite probabilistic analysis using a next-state
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d9d10d22eee8603850a29056f3ae240
https://doi.org/10.1109/secon.2015.7132880
https://doi.org/10.1109/secon.2015.7132880