Selecting maximally informative genes
نویسنده
چکیده
Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given organism, array experiments provide tremendous insight into the fundamental biological processes that translate genetic information. One of the major challenges is to identify computationally efficient and biologically meaningful analysis approaches to extract the most informative and unbiased components of the microarray data. This process is complicated by the fact that a number of uncertainties are associated with array experiments. Therefore, the assumption of the existence of a unique computational d f m d b ©
منابع مشابه
Exploring Classifiability Metrics for Selecting Informative Genes
Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given organism, array experiments provide tremendous insight into the fundamental biological processes that translate genetic information. One of the major challenges is to identify computationally efficient and biologicall...
متن کاملDirect integration of microarrays for selecting informative genes and phenotype classification
The ability to provide thousands of gene expression values simultaneously makes microarray data very useful for phenotype classification. A major constraint in phenotype classification is that the number of genes greatly exceeds the number of samples. We overcame this constraint in two ways; we increased the number of samples by integrating independently generated microarrays that had been desi...
متن کاملIdentification of Alzheimer disease-relevant genes using a novel hybrid method
Identifying genes underlying complex diseases/traits that generally involve multiple etiological mechanisms and contributing genes is difficult. Although microarray technology has enabled researchers to investigate gene expression changes, but identifying pathobiologically relevant genes remains a challenge. To address this challenge, we apply a new method for selecting the disease-relevant gen...
متن کاملSelecting a maximally informative set of single-nucleotide polymorphisms for association analyses using linkage disequilibrium.
Common genetic polymorphisms may explain a portion of the heritable risk for common diseases. Within candidate genes, the number of common polymorphisms is finite, but direct assay of all existing common polymorphism is inefficient, because genotypes at many of these sites are strongly correlated. Thus, it is not necessary to assay all common variants if the patterns of allelic association betw...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Computers & Chemical Engineering
دوره 29 شماره
صفحات -
تاریخ انتشار 2005