Zobrazeno 1 - 10
of 365
pro vyhledávání: '"DeLisi Charles"'
Publikováno v:
Biology Direct, Vol 7, Iss 1, p 21 (2012)
Abstract Background Molecular markers based on gene expression profiles have been used in experimental and clinical settings to distinguish cancerous tumors in stage, grade, survival time, metastasis, and drug sensitivity. However, most significant g
Externí odkaz:
https://doaj.org/article/5955d1efbe3f492ebbd9aaa1c5d51683
Autor:
Huang Chia-Ling, Lamb John, Chindelevitch Leonid, Kostrowicki Jarek, Guinney Justin, DeLisi Charles, Ziemek Daniel
Publikováno v:
BMC Bioinformatics, Vol 13, Iss 1, p 46 (2012)
Abstract Background Identification of active causal regulators is a crucial problem in understanding mechanism of diseases or finding drug targets. Methods that infer causal regulators directly from primary data have been proposed and successfully va
Externí odkaz:
https://doaj.org/article/1593411f2f364c87ac4878d9586d88e5
Publikováno v:
BMC Medical Genomics, Vol 4, Iss 1, p 63 (2011)
Abstract Background Glioblastoma multiforme (GBM) tends to occur between the ages of 45 and 70. This relatively early onset and its poor prognosis make the impact of GBM on public health far greater than would be suggested by its relatively low frequ
Externí odkaz:
https://doaj.org/article/681ca3e565d5423ba27637c6f100ef55
Publikováno v:
Biology Direct, Vol 3, Iss 1, p 24 (2008)
Abstract Background An important goal in bioinformatics is to unravel the network of transcription factors (TFs) and their targets. This is important in the human genome, where many TFs are involved in disease progression. Here, classification method
Externí odkaz:
https://doaj.org/article/efcbb921ea0d40c9ac25a2c5520a5159
Publikováno v:
Biology Direct, Vol 3, Iss 1, p 22 (2008)
Abstract Background An important goal in post-genomic research is discovering the network of interactions between transcription factors (TFs) and the genes they regulate. We have previously reported the development of a supervised-learning approach t
Externí odkaz:
https://doaj.org/article/6631c21681294336b593dc5d01a70892
Publikováno v:
BMC Bioinformatics, Vol 9, Iss 1, p 119 (2008)
Abstract Background Information obtained from diverse data sources can be combined in a principled manner using various machine learning methods to increase the reliability and range of knowledge about protein function. The result is a weighted funct
Externí odkaz:
https://doaj.org/article/9404934b704647b88c88327abc0f77c5
Autor:
Ganesan Shridar, Mesirov Jill P, Tamayo Pablo, Scanfeld Daniel, Alexe Gabriela, Dalgin Gul S, DeLisi Charles, Bhanot Gyan
Publikováno v:
BMC Bioinformatics, Vol 8, Iss 1, p 291 (2007)
Abstract Background Clustering analysis of microarray data is often criticized for giving ambiguous results because of sensitivity to data perturbation or clustering techniques used. In this paper, we describe a new method based on principal componen
Externí odkaz:
https://doaj.org/article/1ea5e6914c074eb199e0cb31e195f639
Publikováno v:
BMC Genomics, Vol 7, Iss 1, p 265 (2006)
Abstract Background The identification of genes essential for survival is of theoretical importance in the understanding of the minimal requirements for cellular life, and of practical importance in the identification of potential drug targets in nov
Externí odkaz:
https://doaj.org/article/8b92014e495a434983cf44be1e83f9a7
Publikováno v:
BMC Bioinformatics, Vol 7, Iss 1, p 420 (2006)
Abstract Background The rapidly increasing speed with which genome sequence data can be generated will be accompanied by an exponential increase in the number of sequenced eukaryotes. With the increasing number of sequenced eukaryotic genomes comes a
Externí odkaz:
https://doaj.org/article/773210dd6c1b43e485e9ce36b3e1b1e1
Publikováno v:
BMC Bioinformatics, Vol 7, Iss 1, p 80 (2006)
Abstract Background Phylogenetic analysis is emerging as one of the most informative computational methods for the annotation of genes and identification of evolutionary modules of functionally related genes. The effectiveness with which phylogenetic
Externí odkaz:
https://doaj.org/article/e869972bbdc4434d9003486df502923d