Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Bob Baddeley"'
Autor:
Banu Gopalan, Roderick M. Riensche, Nathaniel Beagley, Michelle L. Gregory, Bob Baddeley, Antonio Sanfilippo, Christian Posse, Stephen Tratz
Publikováno v:
IEEE Transactions on Nanobioscience. 6:51-59
Two approaches have recently emerged where the similarity between two genes or gene products is obtained by comparing Gene Ontology (GO) annotations associated with the genes or gene products. One approach captures GO-based similarity in terms of hie
Autor:
Antonio Sanfilippo, Bob Baddeley, Roderick M. Riensche, Marc Verhagen, James Pustejovsky, Jason E. McDermott, Ronald C. Taylor, Russell S. Jensen
Publikováno v:
International journal of computational biology and drug design. 4(1)
Increasingly, reverse engineering methods have been employed to infer transcriptional regulatory networks from gene expression data. Enrichment with independent evidence from sources such as the biomedical literature and the Gene Ontology (GO) is des
Autor:
Russ Jensen, Susan L. Stevens, Bob Baddeley, Rick Riensche, Antonio Sanfilippo, Ronald C. Taylor, Jason E. McDermott, Mary P. Stenzel-Poore
Publikováno v:
BCB
A variety of methods and algorithms have recently been employed in the analysis of gene expression data, including reverse-engineering and knowledge-based pathway modeling, semantic gene similarity, network analysis and clustering. These methods and
Autor:
Ronald C. Taylor, Rick Riensche, Bob Baddeley, Russ Jensen, Marc Verhagen, Jason E. McDermott, Antonio Sanfilippo
Publikováno v:
BCB
Microarray gene expression data provide a unique information resource for learning biological networks using "reverse engineering" methods. However, there are a variety of cases in which we know which genes are involved in a given pathology of intere
Autor:
Jason E. McDermott, Banu Gopalan, Roderick M. Riensche, Antonio Sanfilippo, Ronald C. Taylor, Nathaniel Beagley, Bob Baddeley
Publikováno v:
International journal of computational biology and drug design. 2(3)
Most current approaches to automatic pathway generation are based on a reverse engineering approach in which pathway plausibility is solely derived from gene expression data and not independently validated. Alternative approaches use prior biological
Autor:
Karin D. Rodland, Judith A. Blake, Mary E. Dolan, Bob Baddeley, Carol J. Bult, Roderick M. Riensche, Cliff Joslyn, Antonio Sanfilippo, Amanda M. White
Publikováno v:
Nature Precedings
We outline the structure of an automated process to both align multiple bio-ontologies in terms of their genomic co-annotations, and then to measure the structural quality of that alignment. We illustrate the method with a genomic analysis of 70 gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b239dbb2564c67f85775e35004102f8
Autor:
Cliff Joslyn, Bob Baddeley, Judith Blake, Carol Bult, Mary Dolan, Rick Riensche, Karin Rodland, Antonio Sanfilippo, Amanda White
Publikováno v:
Nature Precedings.
Publikováno v:
IJCBS
Most current approaches to automatic pathway generation are based on a reverse engineering approach in which pathway plausibility is solely derived from microarray gene expression data. These approaches tend to lack in generality and offer no indepen
Autor:
Richard May, Roderick M. Riensche, Lyndsey Franklin, K. Younkin, Daniel M. Best, Joe Bruce, William A. Pike, Bob Baddeley, Douglas M. Rice
Publikováno v:
IEEE VAST
A central challenge in visual analytics is the creation of accessible, widely distributable analysis applications that bring the benefits of visual discovery to as broad a user base as possible. Moreover, to support the role of visualization in the k
Publikováno v:
2008 IEEE Conference on Technologies for Homeland Security.
We present a prototype mobile application environment for law enforcement users to assist them in daily operations. This system supports the collection of real-time observations and allows users to quickly share their findings with team members. Mobi