Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Steven Bushnell"'
Autor:
Susan Goelz, Paul Carmillo, John P. Carulli, Paola Cinque, Rich Tizard, Carl Reid, Steven Bushnell, Michele McAuliffe, Gargi Sur, Kenneth Simon, Christopher J. Tonkin, Leonid Gorelik, Huo Li
Publikováno v:
The Journal of Infectious Diseases
Background. Progressive multifocal leukoencephalopathy (PML) in natalizumab-treated MS patients is linked to JC virus (JCV) infection. JCV sequence variation and rearrangements influence viral pathogenicity and tropism. To better understand PML devel
Autor:
Katherine M. Call, Teresa Garcia, Roland Baron, Timothy Connolly, Marielle Auberval, Sergio Roman-Roman, Amanda L. Jackson, Steven Bushnell, Joachim Theilhaber, Shinji Kawai, S Spinella-Jaegle, B Courtois
Publikováno v:
Bone. 31:205-211
Several genes, such as alkaline phosphatase, osteocalcin, and Cbfa1/Osf2, are known to be regulated during osteoblastic differentiation and are commonly used as “osteoblast markers” for in vitro or in vivo studies. The number of these genes is ve
Autor:
A. Derti, Jack Cole, M. Urdea, Steven Bushnell, Theodore J. Catino, P. Sheridan, Mark L. Collins, John E. Monahan, G. Molino, R. Kelso, J. Budde
Publikováno v:
Bioinformatics. 15:348-355
MOTIVATION: The sensitivity and specificity of branched DNA (bDNA) assays are derived in part through the judicious design of the capture and label extender probes. To minimize non-specific hybridization (NSH) events, which elevate assay background,
Autor:
Steven Bushnell, Robert C. Axtell, E.M. Versage, J.A. Davis, J.R. Richert, E.T. Whalley, A.M. Buko, Diego Cadavid, Lawrence Steinman, Z. Zhao, Rossella Medori, Christopher Stebbins
Objective: There is a significant unmet need for serum biomarkers in relapsing-remitting multiple sclerosis (RRMS) that are predictive of therapeutic response to disease-modifying therapies. Following a recent Stanford study which reported that pretr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48e8b086fd65b58e751a9f0f37865b70
https://europepmc.org/articles/PMC3413762/
https://europepmc.org/articles/PMC3413762/
Autor:
Katherine M. Call, Steven Bushnell, Amanda L. Jackson, S Spinella-Jaegle, Roland Baron, Georges Rawadi, Sergio Roman-Roman, Joachim Theilhaber, Marielle Auberval, Teresa Garcia, Timothy Connolly, B Courtois, Shinji Kawai
Publikováno v:
Bone. 32(5)
Although several independent studies of gene expression patterns during osteoblast differentiation in cultures from calvaria and other in vitro models have been reported, only a small portion of the mRNAs expressed in osteoblasts have been characteri
Autor:
Sergio Roman-Roman, Kathy Call, Amanda Jackson, Steven Bushnell, Teresa Garcia, Timothy Connolly, Joachim Theilhaber, Roland Baron
A supervised classification scheme for analyzing microarray expression data, based on the k-nearest-neighbor method coupled to noise-reduction filters, has been used to find genes involved in the osteogenic pathway of the mouse C2C12 cell line studie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce7cd566a6d7aab01ea87fb2298eada0
https://europepmc.org/articles/PMC155256/
https://europepmc.org/articles/PMC155256/
Publikováno v:
Journal of computational biology : a journal of computational molecular cell biology. 8(6)
A general and detailed noise model for the DNA microarray measurement of gene expression is presented and used to derive a Bayesian estimation scheme for expression ratios, implemented in a program called PFOLD, which provides not only an estimate of
Publikováno v:
BMC Research Notes
BMC Research Notes, Vol 6, Iss 1, p 8 (2013)
BMC Research Notes, Vol 6, Iss 1, p 8 (2013)
Background Clinical trials offer a unique opportunity to study human disease and response to therapy in a highly controlled setting. The application of high-throughput expression profiling to peripheral blood from clinical trial subjects could facili
Autor:
Michael Heuer, Anatoly Ulyanov, Christoph Brockel, Jack Cole, Joachim Theilhaber, Dapeng Xu, Robert Nahf, Steven Bushnell, Anish Malanthara
Publikováno v:
BMC Bioinformatics. 5:195
Background Gecko (Gene Expression: Computation and Knowledge Organization) is a complete, high-capacity centralized gene expression analysis system, developed in response to the needs of a distributed user community.
Publikováno v:
Nature Genetics. 23:35-35