Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Tozeren Aydin"'
Autor:
Tozeren Aydin, Dawany Noor B
Publikováno v:
BMC Bioinformatics, Vol 11, Iss 1, p 483 (2010)
Abstract Background Much of the public access cancer microarray data is asymmetric, belonging to datasets containing no samples from normal tissue. Asymmetric data cannot be used in standard meta-analysis approaches (such as the inverse variance meth
Externí odkaz:
https://doaj.org/article/bd422b1a338b40f8afdc9be1c3ee4724
Autor:
Tozeren Aydin, Liu Yichuan
Publikováno v:
BMC Bioinformatics, Vol 11, Iss 1, p 349 (2010)
Abstract Background Phosphorylation events direct the flow of signals and metabolites along cellular protein networks. Current annotations of kinase-substrate binding events are far from complete. In this study, we scanned the entire human protein se
Externí odkaz:
https://doaj.org/article/53e08ff3cdb74a96bcf492c4fe15e962
Publikováno v:
BMC Medical Genomics, Vol 2, Iss 1, p 47 (2009)
Abstract Background The HIV viral genome mutates at a high rate and poses a significant long term health risk even in the presence of combination antiretroviral therapy. Current methods for predicting a patient's response to therapy rely on site-dire
Externí odkaz:
https://doaj.org/article/c3081430a34f44d69daf65ba98d2ae0b
Publikováno v:
BMC Medical Genomics, Vol 2, Iss 1, p 27 (2009)
Abstract Background Host protein-protein interaction networks are altered by invading virus proteins, which create new interactions, and modify or destroy others. The resulting network topology favors excessive amounts of virus production in a stress
Externí odkaz:
https://doaj.org/article/3eab4f452a054603b4f58d78c0b0c1e1
Autor:
Tozeren Aydin, Ertel Adam
Publikováno v:
BMC Genomics, Vol 9, Iss 1, p 628 (2008)
Abstract Background Gene expression is controlled over a wide range at the transcript level through complex interplay between DNA and regulatory proteins, resulting in profiles of gene expression that can be represented as normal, graded, and bimodal
Externí odkaz:
https://doaj.org/article/833dcd41bb124d3fbd097b47e7f2c847
Autor:
Tozeren Aydin, Gormley Michael
Publikováno v:
BMC Bioinformatics, Vol 9, Iss 1, p 486 (2008)
Abstract Background Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of identification and annotation of bimodal genes in the human and mo
Externí odkaz:
https://doaj.org/article/dcc9bbe69afc42258c78a4b2241d79e0
Autor:
Tozeren Aydin, Ertel Adam
Publikováno v:
BMC Genomics, Vol 9, Iss 1, p 3 (2008)
Abstract Background Recent studies have placed gene expression in the context of distribution profiles including housekeeping, graded, and bimodal (switch-like). Single-gene studies have shown bimodal expression results from healthy cell signaling an
Externí odkaz:
https://doaj.org/article/2151cd79c3d54930860839d72a4bb101
Publikováno v:
BMC Bioinformatics, Vol 8, Iss 1, p 415 (2007)
Abstract Background Independently derived expression profiles of the same biological condition often have few genes in common. In this study, we created populations of expression profiles from publicly available microarray datasets of cancer (breast,
Externí odkaz:
https://doaj.org/article/359cf411f82540d787592bddf6910f12
Publikováno v:
Molecular Cancer, Vol 5, Iss 1, p 55 (2006)
Abstract Background Cell lines are used in experimental investigation of cancer but their capacity to represent tumor cells has yet to be quantified. The aim of the study was to identify significant alterations in pathway usage in cell lines in compa
Externí odkaz:
https://doaj.org/article/01e36d0eb6654eb68d2351d11658dcc0
Publikováno v:
BMC Medical Imaging, Vol 6, Iss 1, p 14 (2006)
Abstract Background Tumor classification is inexact and largely dependent on the qualitative pathological examination of the images of the tumor tissue slides. In this study, our aim was to develop an automated computational method to classify Hemato
Externí odkaz:
https://doaj.org/article/02bca719cb134ae49ea5aa21ae89970d