Zobrazeno 1 - 10
of 18
pro vyhledávání: '"James Lowey"'
Publikováno v:
Clin Pharmacol Ther
Personalized medicine, or the tailoring of health interventions to an individual's nuanced and often unique genetic, biochemical, physiological, behavioral, and/or exposure profile, is seen by many as a biological necessity given the great heterogene
Autor:
Angela Baker, Christiane M. Robbins, James Lowey, Edward Suh, Arul M. Chinnaiyan, John V. Pearson, Tracy Moses, Shripad Sinari, John D. Carpten, James S. Beckstrom-Sternberg, Waibov A. Tembe, Kenneth J. Pienta, James Long, Stephen M. Beckstrom-Sternberg, David B. Agus, Michael T. Barrett, David Craig
Publikováno v:
Genome Research. 21:47-55
Advanced prostate cancer can progress to systemic metastatic tumors, which are generally androgen insensitive and ultimately lethal. Here, we report a comprehensive genomic survey for somatic events in systemic metastatic prostate tumors using both h
Publikováno v:
Journal of Computational Biology. 16:565-577
As a first step in analyzing high-throughput data in genome-wide studies, several algorithms are available to identify and prioritize candidates lists for downstream fine-mapping. The prioritized candidates could be differentially expressed genes, ab
Autor:
Jianping Hua, Edward R. Dougherty, Brent Carroll, Edward Suh, Chao Sima, James Lowey, Marcel Brun
Publikováno v:
Pattern Recognition. 40:807-824
A cluster operator takes a set of data points and partitions the points into clusters (subsets). As with any scientific model, the scientific content of a cluster operator lies in its ability to predict results. This ability is measured by its error
Autor:
Edward R. Dougherty, Edward Suh, Yoganand Balagurunathan, Michael L. Bittner, Yi Chen, Jianping Hua, Zixiang Xiong, James Lowey
Publikováno v:
EURASIP Journal on Bioinformatics and Systems Biology
When using cDNA microarrays, normalization to correct labeling bias is a common preliminary step before further data analysis is applied, its objective being to reduce the variation between arrays. To date, assessment of the effectiveness of normaliz
Publikováno v:
Pattern Recognition. 38:2472-2482
Given a large set of potential features, it is usually necessary to find a small subset with which to classify. The task of finding an optimal feature set is inherently combinatoric and therefore suboptimal algorithms are typically used to find featu
Autor:
Henrik Grönberg, Wennan Liu, Fang-Chi Hsu, Edward Suh, Aubrey R. Turner, S. Lilly Zheng, Fredrik Lindmark, Latchezar Dimitrov, Jianfeng Xu, James Lowey, Hans-Olov Adami, Jason H. Moore, Jeffrey M. Trent, William B. Isaacs, Fredrik Wiklund, Jielin Sun, Baoli Chang
Publikováno v:
Cancer Epidemiology, Biomarkers & Prevention. 14:2563-2568
It is widely hypothesized that the interactions of multiple genes influence individual risk to prostate cancer. However, current efforts at identifying prostate cancer risk genes primarily rely on single-gene approaches. In an attempt to fill this ga
Publikováno v:
Bioinformatics. 21:1509-1515
Motivation: Given the joint feature-label distribution, increasing the number of features always results in decreased classification error; however, this is not the case when a classifier is designed via a classification rule from sample data. Typica
Autor:
Edward Suh, Yi Zhu, James Lowey, S. Lilly Zheng, John D. Carpten, Jishan Sun, Kevin Campbell, Jeffrey M. Trent, Jin Woo Kim, Yizhen Lu, Junjie Feng, Henrik Grönberg, Daru Lu, David Duggan, Tao Jin, Latchezar Dimitrov, Wennuan Liu, Seong Tae Kim, Jielin Sun, Andrew Karim Kader, William B. Isaacs, Zheng Zhang, Jianfeng Xu
Publikováno v:
The Prostate. 72(4)
BACKGROUND Genome-wide association studies (GWAS) have identified approximately three dozen single nucleotide polymorphisms (SNPs) consistently associated with prostate cancer (PCa) risk. Despite the reproducibility of these associations, the molecul
Publikováno v:
2008 IEEE International Workshop on Genomic Signal Processing and Statistics.
High-throughput distributed data analysis based on clustered computing is gaining increasing importance in the field of computational biology. This paper describes a parallel programming approach and its software implementation using Message Passing