Zobrazeno 1 - 8
of 8
pro vyhledávání: '"David E. Huizenga"'
Autor:
Seok Hun Kim, David E. Huizenga, Ismet Handzic, Rebecca Edgeworth Ditwiler, Matthew Lazinski, Tyagi Ramakrishnan, Andrea Bozeman, David Z. Rose, Kyle B. Reed
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 16, Iss 1, Pp 1-8 (2019)
Abstract Background Gait impairment is a common consequence of stroke and typically involves a hemiparetic or asymmetric walking pattern. Asymmetric gait patterns are correlated with decreased gait velocity and efficiency as well as increased suscept
Externí odkaz:
https://doaj.org/article/6b6730f03d49403798948b76002ea078
Autor:
David E. Huizenga, Patrea L. Pabst
Publikováno v:
Tissue Engineering. 5:287-289
Autor:
Jack W. Szostak, David E. Huizenga
Publikováno v:
Biochemistry. 34(2)
We have used in vitro selection to isolate adenosine/ATP-binding DNA sequences from a pool of approximately 2 x 10(14) different random-sequence single-stranded DNA molecules. One of these aptamers has been characterized and binds adenosine in soluti
Publikováno v:
Physica Status Solidi. A: Applications & Materials Science; Jul2020, Vol. 217 Issue 13, p1-8, 8p
Publikováno v:
Evolutionary Computation in Gene Regulatory Network Research; 2016, p211-239, 29p
Autor:
Kim, Seok Hun1 (AUTHOR), Huizenga, David E.2 (AUTHOR), Handzic, Ismet2,3 (AUTHOR), Ditwiler, Rebecca Edgeworth1 (AUTHOR), Lazinski, Matthew1 (AUTHOR), Ramakrishnan, Tyagi3,4 (AUTHOR), Bozeman, Andrea5 (AUTHOR), Rose, David Z.5 (AUTHOR), Reed, Kyle B.3 (AUTHOR) kylereed@usf.edu
Publikováno v:
Journal of NeuroEngineering & Rehabilitation (JNER). 8/28/2019, Vol. 16 Issue 1, pN.PAG-N.PAG. 1p.
Autor:
Zekos, Georgios I.
Publikováno v:
International Journal of Law & Information Technology; Autumn2006, Vol. 14 Issue 3, p310-369, 60p
Autor:
Hitoshi Iba, Nasimul Noman
Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computational and system biologists This book is a step-by-step guideline for research in gene regulatory networks