title: LS-CAP: an algorithm for identifying cytogenetic aberrations in hepatocellular carcinoma using microarray data.
abstract: Biological techniques such as Array-Comparative genomic hybridization (CGH), fluorescent in situ hybridization (FISH) and affymetrix single nucleotide pleomorphism (SNP) array have been used to detect cytogenetic aberrations. However, on genomic scale, these techniques are labor intensive and time consuming. Comparative genomic microarray analysis (CGMA) has been used to identify cytogenetic changes in hepatocellular carcinoma (HCC) using gene expression microarray data. However, CGMA algorithm can not give precise localization of aberrations, fails to identify small cytogenetic changes, and exhibits false negatives and positives. Locally un-weighted smoothing cytogenetic aberrations prediction (LS-CAP) based on local smoothing and binomial distribution can be expected to address these problems. LS-CAP algorithm was built and used on HCC microarray profiles. Eighteen cytogenetic abnormalities were identified, among them 5 were reported previously, and 12 were proven by CGH studies. LS-CAP effectively reduced the false negatives and positives, and precisely located small fragments with cytogenetic aberrations.
authors.affiliation: Department of Health Statistics, Second Military Medical University, Shanghai, 200433, P.R China. hxmine@hotmail.com
authors.forename: Xianmin
authors.initials: X
authors.lastname: He
authors.forename: Qing
authors.initials: Q
authors.lastname: Wei
authors.forename: Meiqian
authors.initials: M
authors.lastname: Sun
authors.forename: Xuping
authors.initials: X
authors.lastname: Fu
authors.forename: Sichang
authors.initials: S
authors.lastname: Fan
authors.forename: Yao
authors.initials: Y
authors.lastname: Li
mesh_terms: D000465:Algorithms; D006528:Carcinoma, Hepatocellular / Q000235:genetics*; D002869:Chromosome Aberrations; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods*; D003582:Cytogenetics / Q000379:methods; D018076:DNA, Complementary / Q000378:metabolism; D003627:Data Interpretation, Statistical; D005189:False Positive Reactions; D015972:Gene Expression Regulation, Neoplastic; D005821:Genetic Techniques; D006801:Humans; D017404:In Situ Hybridization, Fluorescence / Q000379:methods*; D008113:Liver Neoplasms / Q000235:genetics*; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D020641:Polymorphism, Single Nucleotide
chemical_list: D018076:DNA, Complementary