Feature extraction and normalization algorithms for high-density oligonucleotide gene expression array data

作者：Eric E. Schadt, Li Cheng, Byron Ellis, Wing Hung Wong · 发表于：Journal of Cellular Biochemistry · 年份：2001 · DOI：10.1002/jcb.10073 · 被引用次数：290 · 研究领域：Gene expression and cancer classification、Single-cell and spatial transcriptomics、Molecular Biology Techniques and Applications

Algorithms for performing feature extraction and normalization on high-density oligonucleotide gene expression arrays, have not been fully explored, and the impact these algorithms have on the downstream analysis is not well understood. Advances in such low-level analysis methods are essential to increase the sensitivity and specificity of detecting whether genes are present and/or differentially expressed. We have developed and implemented a number of algorithms for the analysis of expression array data in a software application, the DNA-Chip Analyzer (dChip). In this report, we describe the algorithms for feature extraction and normalization, and present validation data and comparison results with some of the algorithms currently in use.