Zobrazeno 1 - 10
of 11
pro vyhledávání: '"James S. Cavenaugh"'
Autor:
Josef, Spidlen, Wayne, Moore, David, Parks, Michael, Goldberg, Kim, Blenman, James S, Cavenaugh, Ryan, Brinkman
Publikováno v:
Cytometry A
FCS 3.2 is a revision of the flow cytometry data standard based on a decade of suggested improvements from the community as well as industry needs to capture instrument conditions and measurement features more precisely. The unchanged goal of the sta
Autor:
James S Cavenaugh, Dorka Awi, Maimuna Mendy, Adrian V S Hill, Hilton Whittle, Samuel J McConkey
Publikováno v:
PLoS ONE, Vol 6, Iss 2, p e14626 (2011)
Chronic HBV infects 350 million people causing cancer and liver failure. We aimed to assess the safety and efficacy of plasmid DNA (pSG2.HBs) vaccine, followed by recombinant modified vaccinia virus Ankara (MVA.HBs), encoding the surface antigen of H
Externí odkaz:
https://doaj.org/article/bce63fca2664431e983aae31b798e4de
Autor:
James S. Cavenaugh, Jonathan Rebhahn, Tim R. Mosmann, Suprakash Datta, Gaurav Sharma, Iftekhar Naim
Publikováno v:
Cytometry
We present a model-based clustering method, SWIFT (Scalable Weighted Iterative Flow-clustering Technique), for digesting high-dimensional large-sized datasets obtained via modern flow cytometry into more compact representations that are well-suited f
Autor:
Hongyu Miao, James S. Cavenaugh, Carrie Dykes, Hulin Wu, Lisa M. Demeter, Sung Yong Park, Alan S. Perelson
Publikováno v:
Bulletin of Mathematical Biology. 70:1749-1771
Growth competition assays have been developed to quantify the relative fitness of HIV-1 mutants. In this article, we develop mathematical models to describe viral/cellular dynamic interactions in the assay system from which the competitive fitness in
Autor:
Gaurav Sharma, Iftekhar Naim, James S. Cavenaugh, Tim R. Mosmann, Jonathan Rebhahn, Suprakash Datta, Jason M. Weaver
Publikováno v:
Cytometry
A multistage clustering and data processing method, SWIFT (detailed in a companion manuscript), has been developed to detect rare subpopulations in large, high-dimensional flow cytometry datasets. An iterative sampling procedure initially fits the da
Autor:
Changyong Feng, Xia Jin, Eun-Hyung Lee, Matthew Ferrantino, Tim R. Mosmann, Saima Ansari, James S. Cavenaugh, Edward E. Walsh
Publikováno v:
A35. LESSONS IN LUNG INFECTIONS.
Autor:
Dorka Awi, James S. Cavenaugh, Samuel J. McConkey, Hilton Whittle, Maimuna Mendy, Adrian V. S. Hill
Publikováno v:
PLoS ONE, Vol 6, Iss 2, p e14626 (2011)
PLoS ONE
PLoS ONE
Background Chronic HBV infects 350 million people causing cancer and liver failure. We aimed to assess the safety and efficacy of plasmid DNA (pSG2.HBs) vaccine, followed by recombinant modified vaccinia virus Ankara (MVA.HBs), encoding the surface a
Publikováno v:
ICASSP
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets which pose a significant challenge for traditional manual bivariate an
Publikováno v:
Cytometry. Part B, Clinical cytometry. 72(1)
Background: Although relational databases are widely used in bioinformatics with deposited and finalized data, they have not received widespread usage among immunologists for managing raw laboratory data such as that generated by ELISpot or flow cyto
Publikováno v:
Pharmaceutical research. 20(4)
This work examines the effectiveness of synthetic peptide immunogens derived from immunodominant T-cell epitopes as replacements for their intact parent protein in vaccines.Fluorescein was conjugated to hen egg lysozyme (FL-HEL, positive control) and