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BMCBI
2010
122views more  BMCBI 2010»
13 years 5 months ago
Ovarian cancer classification based on dimensionality reduction for SELDI-TOF data
Background: Recent advances in proteomics technologies such as SELDI-TOF mass spectrometry has shown promise in the detection of early stage cancers. However, dimensionality reduc...
Kai-Lin Tang, Tong-Hua Li, Wen-Wei Xiong, Kai Chen
BMCBI
2006
149views more  BMCBI 2006»
13 years 5 months ago
Identification of biomarkers from mass spectrometry data using a "common" peak approach
Background: Proteomic data obtained from mass spectrometry have attracted great interest for the detection of early-stage cancer. However, as mass spectrometry data are high-dimen...
Tadayoshi Fushiki, Hironori Fujisawa, Shinto Eguch...
KDD
2001
ACM
169views Data Mining» more  KDD 2001»
14 years 5 months ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng
BMCBI
2010
125views more  BMCBI 2010»
13 years 5 months ago
In-silico prediction of blood-secretory human proteins using a ranking algorithm
Background: Computational identification of blood-secretory proteins, especially proteins with differentially expressed genes in diseased tissues, can provide highly useful inform...
Qi Liu, Juan Cui, Qiang Yang, Ying Xu
BMCBI
2004
97views more  BMCBI 2004»
13 years 5 months ago
Performance of a genetic algorithm for mass spectrometry proteomics
Background: Recently, mass spectrometry data have been mined using a genetic algorithm to produce discriminatory models that distinguish healthy individuals from those with cancer...
Neal O. Jeffries