Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Matthew Beauregard"'
Autor:
Matthew Beauregard Smith, Kent VanderVelden, Thomas Blom, Heather D Stout, James H Mapes, Tucker M Folsom, Christopher Martin, Angela M Bardo, Edward M Marcotte
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 7, p e1012258 (2024)
The practical application of new single molecule protein sequencing (SMPS) technologies requires accurate estimates of their associated sequencing error rates. Here, we describe the development and application of two distinct parameter estimation met
Externí odkaz:
https://doaj.org/article/6deaa069484048499b520f93cd347a05
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 5, p e1011157 (2023)
We present a machine learning-based interpretive framework (whatprot) for analyzing single molecule protein sequencing data produced by fluorosequencing, a recently developed proteomics technology that determines sparse amino acid sequences for many
Externí odkaz:
https://doaj.org/article/8a949b5dcbc44e08bb9ba78b8fd2e4f9
Autor:
Smith, Matthew Beauregard1,2,3 (AUTHOR) mbsmith93@utexas.edu, VanderVelden, Kent3 (AUTHOR), Blom, Thomas3 (AUTHOR), Stout, Heather D.2,3 (AUTHOR), Mapes, James H.3 (AUTHOR), Folsom, Tucker M.3 (AUTHOR), Martin, Christopher3 (AUTHOR), Bardo, Angela M.2,3 (AUTHOR) mbsmith93@utexas.edu, Marcotte, Edward M.1,2 (AUTHOR) mbsmith93@utexas.edu
Publikováno v:
PLoS Computational Biology. 7/5/2024, Vol. 20 Issue 7, p1-24. 24p.
Autor:
Smith, Matthew Beauregard1 (AUTHOR) mbsmith93@utexas.edu, Simpson, Zack Booth2 (AUTHOR) mbsmith93@utexas.edu, Marcotte, Edward M.3 (AUTHOR) mbsmith93@utexas.edu
Publikováno v:
PLoS Computational Biology. 5/30/2023, Vol. 19 Issue 5, p1-26. 26p. 7 Diagrams, 7 Graphs.
We present a machine learning-based interpretive framework (whatprot) for analyzing single molecule protein sequencing data produced by fluorosequencing, a recently developed proteomics technology that determines sparse amino acid sequences for many
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::695dd4bc33c35872096bcf8d61b0d628
https://doi.org/10.1101/2022.09.23.509260
https://doi.org/10.1101/2022.09.23.509260
Autor:
Richard Lombardini, Jose Duron, Matthew Beauregard, Iliana De La Cruz, Matthew Knodell, Richard Cardenas
Publikováno v:
Journal of Computational and Theoretical Nanoscience. 14:1706-1713
Autor:
Carolyn Ehrlich, Elizabeth Kendall, David Crompton, Peter Kohleis, Polly Chester, Matthew Beauregard
Publikováno v:
International Journal of Integrated Care; Vol 17: WCIC Conference Supplement 2016; A84
Introduction: Achieving high value for patients must become the overarching goal of mental health care delivery, with value defined as the health outcomes achieved per dollar spent. Value is improved through the introduction of integrated, shared pra
Publikováno v:
Professional Practice in Artificial Intelligence ISBN: 9780387346557
IFIP PPAI
IFIP PPAI
© 2006 by International Federation for Information Processing. All rights reserved. Biologically realistic computer simulation of vertebrate locomotion is an interesting and challenging problem with applications in computer graphics and robotics. On
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84d1708df952f0a09102fe2c3b866c7a
https://doi.org/10.1007/978-0-387-34749-3_26
https://doi.org/10.1007/978-0-387-34749-3_26
Autor:
Paul J. Kennedy, Matthew Beauregard
Publikováno v:
Parallel Problem Solving from Nature-PPSN IX ISBN: 9783540389903
PPSN
PPSN
Biologically realistic computer simulation of vertebrates is a challenging problem with exciting applications in computer graphics and robotics. Once the mechanics of locomotion are available it is interesting to mediate this locomotion with higher l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dc6c5413c6d1431ceb15cfd20277796
https://doi.org/10.1007/11844297_65
https://doi.org/10.1007/11844297_65
Publikováno v:
Journal of Physics A: Mathematical & Theoretical; 3/6/2015, Vol. 48 Issue 9, p1-1, 1p