Name
Title | ||
|---|---|---|
A Data Mining Method to Predict Transcriptional Regulatory Sites Based on Differentially Expressed Genes in Human Genome |
Abstract | ||
|---|---|---|
Very large-scale gene expression analysis i.e., UniGene and dbEST , are provided to find those genes with significantly differential expression in specific tissues. The differentially expressed genes in a specific tissue are potentially regulated concurrently by a combination oftranscription factors. This study attempts to mine putative binding sites on how combinations of the known regulatory sites homologs and over-represented repetitive elements are distributed in the promoter regions of considered groups of differentially expressed genes. Wepropose a data mining approach to statistically discover the significantly tissue-specific combinations of known site homologs and over-represented repetitive sequences, which are distributed in the promoter regions of differentially gene groups. The association rules minedwould facilitate to predict putative regulatory elements and identify genes potentially co-regulated by the putative regulatory elements. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/BIBE.2003.1188966 | J. Inf. Sci. Eng. |
Keywords | Field | DocType |
data mining,over-represented repetitive element,differentially expressed genes,data mining method,promoter region,specific tissue,human genome,regulatory sites homologs,differentially gene group,putative binding site,known site homologs,unigene,differential expression,transcription factor,regulatory site,est,predict transcriptional regulatory,putative regulatory element,large-scale gene expression analysis,gene expression,bioinformatics,binding site,computer science,proteins,genomics,genetics,gene expression analysis,statistical analysis,association rule mining,molecular biophysics | Data mining,Gene,Biology,Trans-regulatory element,Gene expression,Genomics,UniGene,Bioinformatics,Human genome,Genetics,Regulatory site,Transcription factor | Conference |
Volume | Issue | ISSN |
19 | 6 | 1016-2364 |
ISBN | Citations | PageRank |
0-7695-1907-5 | 3 | 0.46 |
References | Authors | |
9 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hsien-Da Huang | 1 | 835 | 63.83 |
| Huei-Lin Chang | 2 | 3 | 0.46 |
| tsungshan tsou | 3 | 11 | 2.94 |
| Baw-Jhiune Liu | 4 | 193 | 38.12 |
| Cheng-yan Kao | 5 | 586 | 61.50 |
| Jorng-Tzong Horng | 6 | 541 | 67.78 |