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» Analysis of Proteomic Pattern Data for Cancer Detection
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BMCBI
2011
14 years 1 months ago
Wavelet-based identification of DNA focal genomic aberrations from single nucleotide polymorphism arrays
Background: Copy number aberrations (CNAs) are an important molecular signature in cancer initiation, development, and progression. However, these aberrations span a wide range of...
Youngmi Hur, Hyunju Lee
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
15 years 10 months ago
LungCAD: a clinically approved, machine learning system for lung cancer detection
We present LungCAD, a computer aided diagnosis (CAD) system that employs a classification algorithm for detecting solid pulmonary nodules from CT thorax studies. We briefly descri...
R. Bharat Rao, Jinbo Bi, Glenn Fung, Marcos Salgan...
76
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EVOW
2003
Springer
15 years 2 months ago
Chromosomal Breakpoint Detection in Human Cancer
Chromosomal aberrations are differences in DNA sequence copy number of chromosome regions 3 . These differences may be crucial genetic events in the development and progression o...
Kees Jong, Elena Marchiori, Aad van der Vaart, Bau...
BMCBI
2002
126views more  BMCBI 2002»
14 years 9 months ago
RIO: Analyzing proteomes by automated phylogenomics using resampled inference of orthologs
Background: When analyzing protein sequences using sequence similarity searches, orthologous sequences (that diverged by speciation) are more reliable predictors of a new protein&...
Christian M. Zmasek, Sean R. Eddy
CIBCB
2005
IEEE
15 years 3 months ago
Artificial Neural Network Analysis of DNA Microarray-based Prostate Cancer Recurrence
— DNA microarray-based gene expression profiles have been established for a variety of adult cancers. This paper addresses application of an artificial neural network (ANN) wit...
Leif E. Peterson, Mustafa Ozen, Halime Erdem, Andr...