Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Harry, Zuzan"'
Autor:
Thomas J. Hudson, Jason Moffat, Saravanan Rajan, Huan Chu Pham Dang, Haig Djambazian, Troy Ketela, Harry Zuzan, Yaroslav Fedyshyn, Robert Sladek
Publikováno v:
Physiological Genomics. 44:183-197
Myogenesis is a tightly controlled process involving the transcriptional activation and repression of thousands of genes. Although many components of the transcriptional network regulating the later phases of myogenesis have been identified, relative
Autor:
Carrie Blanchette, John A. Olson, Holly K. Dressman, Seiichi Ishida, Harry Zuzan, Erich Huang, Rainer Spang, Joseph R. Nevins, Jeffrey R. Marks, Mike West
Publikováno v:
Proceedings of the National Academy of Sciences. 98:11462-11467
Prognostic and predictive factors are indispensable tools in the treatment of patients with neoplastic disease. For the most part, such factors rely on a few specific cell surface, histological, or gross pathologic features. Gene expression assays ha
Autor:
Joseph R. Nevins, Harry Zuzan, Erich Huang, Mike West, Rainer Spang, Gustavo Leone, Seiichi Ishida
Publikováno v:
Molecular and Cellular Biology. 21:4684-4699
We have used high-density DNA microarrays to provide an analysis of gene regulation during the mammalian cell cycle and the role of E2F in this process. Cell cycle analysis was facilitated by a combined examination of gene control in serum-stimulated
Publikováno v:
Ultramicroscopy. 68:201-214
The successful application of a new strategy for classifying images of biological macromolecules, and resolving their rotational orientations, was recently introduced by R. Marabini and J.M. Carazo [Pattern recognition and classification of images of
Publikováno v:
Briefings in bioinformatics. 9(1)
We present an overview of image-processing methods for Affymetrix GeneChips. All GeneChips are affected to some extent by spatially coherent defects and image processing has a number of potential impacts on the downstream analysis of GeneChip data. F
Autor:
David Benovoy, David Serre, John E. Blume, Tony Kwan, Scott Gurd, Robert Sladek, Hui Wang, Anthony C. Schweitzer, Christel Dias, Thomas J. Hudson, Tyson A. Clark, Michelle K. Staples, Harry Zuzan, Jacek Majewski
Alternative pre-mRNA splicing increases proteomic diversity and provides a potential mechanism underlying both phenotypic diversity and susceptibility to genetic disorders in human populations. To investigate the variation in splicing among humans on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76be51aa076471b882c3a638c1103026
https://europepmc.org/articles/PMC1933514/
https://europepmc.org/articles/PMC1933514/
Autor:
Rainer, Spang, Harry, Zuzan, Mike, West, Joseph, Nevins, Carrie, Blanchette, Jeffrey R, Marks
Publikováno v:
In silico biology. 2(3)
We have developed a complete statistical model for the analysis of tumor specific gene expression profiles. The approach provides investigators with a global overview on large scale gene expression data, indicating aspects of the data that relate to