Name
Title | ||
|---|---|---|
DiscMLA: An Efficient Discriminative Motif Learning Algorithm over High-Throughput Datasets. |
Abstract | ||
|---|---|---|
The transcription factors (TFs) can activate or suppress gene expression by binding to specific sites, hence are crucial regulatory elements for transcription. Recently, series of discriminative motif finders have been tailored to offering promising strategy for harnessing the power of large quantities of accumulated high-throughput experimental data. However, in order to achieve high speed, these... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCBB.2016.2561930 | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Keywords | Field | DocType |
DNA,Pulse width modulation,Hamming distance,Gene expression,Power measurement | Pattern recognition,Computer science,Algorithm,Motif (music),Exploit,Hamming distance,Artificial intelligence,Statistical model,Throughput,Bioinformatics,Discriminative model,Machine learning | Journal |
Volume | Issue | ISSN |
15 | 6 | 1545-5963 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongbo Zhang | 1 | 322 | 33.83 |
| Lin Zhu | 2 | 74 | 4.93 |
| De-Shuang Huang | 3 | 5532 | 357.50 |