Title :
Genomic FISHing: data analysis for chromosomal imbalances using DNA arrays
Author :
Shah, S. ; Kim, J. ; Mohammed, M. ; Kang, J. ; Dzidic, N. ; Locker, R.
Author_Institution :
Spectral Genomics, Inc, Houston, TX, USA
Abstract :
Microarrays for genomic analysis pose a rather serious challenge for statistical inference on the quality of data. With the ability to attach large genomic fragments on the array substrate, it is now possible to search for chromosomal imbalances related to various diseases at a significantly improved resolution. The challenge lies in understanding the experimental characteristics and modeling the erroneous noise to analyze and interpret the data. This paper presents a method of analysis that addresses the issues related to background noise, dye non-linearities, normalization, and replicate analysis. Data from three different cases is presented.
Keywords :
DNA; arrays; biological techniques; diseases; dyes; genetics; DNA arrays; background noise; chromosomal imbalances; data analysis; data quality; dye nonlinearities; erroneous noise modeling; genomic FISHing; normalization; replicate analysis; Bioinformatics; Biological cells; Chromosome mapping; Cloning; DNA; Data analysis; Fluorescence; Genomics; Humans; Neoplasms;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1053233