Abstract | ||
---|---|---|
Frequently recurring RNA structural motifs play important roles in RNA folding process and interaction with other molecules. Traditional index-based and shape-based schemas are useful in modeling RNA secondary structures but ignore the structural discrepancy of individual RNA family member. Further, the in-depth analysis of underlying substructure pattern is insufficient due to varied and unnormal... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TCBB.2016.2645202 | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Keywords | Field | DocType |
RNA,Data mining,Bioinformatics,Genomics,Labeling,Proteins,Computers | RNA,Graph,Computer science,Rna folding,Genomics,Structural motif,Bioinformatics,Data mining algorithm,Substructure | Journal |
Volume | Issue | ISSN |
14 | 5 | 1545-5963 |
Citations | PageRank | References |
2 | 0.35 | 28 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qingfeng Chen | 1 | 25 | 6.74 |
Chaowang Lan | 2 | 2 | 0.35 |
Baoshan Chen | 3 | 5 | 1.08 |
Lusheng Wang | 4 | 2433 | 224.97 |
jinyan li | 5 | 2404 | 191.25 |
Chengqi Zhang | 6 | 3636 | 274.41 |