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pro vyhledávání: '"Knisley, Jeff R."'
Autor:
Knisley, Jeff R., Glenn, L. Lee
Publikováno v:
ETSU Faculty Works.
Two single-pass methods for fitting multiexponentials to experimental data are described. These methods rely on the construction of a matrix whose characteristic polynomial is used to determine the rates of decay. In the first method, which we call t
Externí odkaz:
https://dc.etsu.edu/etsu-works/7542
Autor:
Glenn, L. Lee, Knisley, Jeff R.
Publikováno v:
ETSU Faculty Works.
Boundary conditions for the cable equation - such as voltage-clamped or sealed cable ends, branchpoints, somatic shunts, and current clamps - result in multi-exponential series representations of the voltage or current. Each term in the series expans
Externí odkaz:
https://dc.etsu.edu/etsu-works/7540
Autor:
Knisley, Debra J., Knisley, Jeff R.
Publikováno v:
ETSU Faculty Works.
We represent the protein structure of scTIM with a graph-theoretic model. We construct a hierarchical graph with three layers - a top level, a midlevel and a bottom level. The top level graph is a representation of the protein in which its vertices e
Externí odkaz:
https://dc.etsu.edu/etsu-works/15911
https://dc.etsu.edu/cgi/viewcontent.cgi?article=17177&context=etsu-works
https://dc.etsu.edu/cgi/viewcontent.cgi?article=17177&context=etsu-works
Autor:
Knisley, Debra J., Knisley, Jeff R.
Publikováno v:
ETSU Faculty Works.
In our recent work in computational biology, our approach to modeling protein structures requires that each vertex be weighted by a vector of weights. This motivates the results we present here. We show that many graphical invariants can be generaliz
Externí odkaz:
https://dc.etsu.edu/etsu-works/15778
Autor:
Knisley, Debra J.1,2 knisleyd@etsu.edu, Knisley, Jeff R.1,2
Publikováno v:
BMC Proceedings. 8/28/2014, p1-8. 8p.
Akademický článek
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Autor:
Glenn, Loyd L., Knisley, Jeff R.
Publikováno v:
Neuroscience Research Communications; November/December 1997, Vol. 21 Issue: 3 p187-194, 8p
Autor:
Knisley, Jeff R., Glenn, Loyd L.
Publikováno v:
In Journal of Neuroscience Methods 1996 67(2):177-183