iEnhancer-2L specifications


Unique identifier OMICS_10288
Name iEnhancer-2L
Interface Web user interface
Restrictions to use None
Input data DNA sequences
Input format FASTA
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Bin Liu

Publication for iEnhancer-2L

iEnhancer-2L citations


iSS PC: Identifying Splicing Sites via Physical Chemical Properties Using Deep Sparse Auto Encoder

Sci Rep
PMCID: 5557945
PMID: 28811565
DOI: 10.1038/s41598-017-08523-8

[…] rithms, and found that the SAE classification algorithm was stable and reliable. Therefore, the new approach could be used to solve many important tasks in bioinformatics, such as iRSpot-EL, iDHS-EL, iEnhancer-2L. And these are the work which should be completed in the next phase. In fact, we had constructed a predictor called “iDHSs-PseTNC” to identify DNase I hypersensitive sites with pseudo tri […]


Improving classification of mature microRNA by solving class imbalance problem

Sci Rep
PMCID: 4867574
PMID: 27181057
DOI: 10.1038/srep25941

[…] ith a sequencital search method. we shall make efforts in our future work to try these methods for improving preformance of our classifier. And as shown in a series of recent publications (see, e.g., iEnhancer-2L and two studies of Liu et al.), user-friendly and publicly accessible web-servers with more information, such as SVM score,and visulization functions, can significantly enhance their impa […]

iEnhancer-2L institution(s)
School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, China
iEnhancer-2L funding source(s)
This work was supported by the National Natural Science Foundation of China (No. 61300112, 61573118 and 61272383), the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry, the Natural Science Foundation of Guangdong Province (2014A030313695), and National High Technology Research and Development Program of China (863 Program) [2015AA015405].

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