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For: Zhang S, Chang M, Zhou Z, Dai X, Xu Z. pDHS-ELM: computational predictor for plant DNase I hypersensitive sites based on extreme learning machines. Mol Genet Genomics 2018;293:1035-49. [DOI: 10.1007/s00438-018-1436-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Accepted: 03/27/2018] [Indexed: 10/17/2022]
Number Cited by Other Article(s)
1
Li J, Liu F, Mo K, Ni H, Yin Y. Effects of weaning on intestinal longitudinal muscle-myenteric plexus function in piglets. SCIENCE CHINA. LIFE SCIENCES 2024;67:379-390. [PMID: 37824029 DOI: 10.1007/s11427-022-2391-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 05/18/2023] [Indexed: 10/13/2023]
2
Wang LS, Sun ZL. iDHS-FFLG: Identifying DNase I Hypersensitive Sites by Feature Fusion and Local-Global Feature Extraction Network. Interdiscip Sci 2023;15:155-170. [PMID: 36166165 DOI: 10.1007/s12539-022-00538-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 09/12/2022] [Accepted: 09/12/2022] [Indexed: 05/01/2023]
3
Cai J, Wang T, Deng X, Tang L, Liu L. GM-lncLoc: LncRNAs subcellular localization prediction based on graph neural network with meta-learning. BMC Genomics 2023;24:52. [PMID: 36709266 PMCID: PMC9883864 DOI: 10.1186/s12864-022-09034-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 11/21/2022] [Indexed: 01/29/2023]  Open
4
Dao FY, Lv H, Su W, Sun ZJ, Huang QL, Lin H. iDHS-Deep: an integrated tool for predicting DNase I hypersensitive sites by deep neural network. Brief Bioinform 2021;22:6158360. [PMID: 33751027 DOI: 10.1093/bib/bbab047] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Revised: 01/28/2021] [Accepted: 01/29/2021] [Indexed: 01/09/2023]  Open
5
Zhang S, Duan Z, Yang W, Qian C, You Y. iDHS-DASTS: identifying DNase I hypersensitive sites based on LASSO and stacking learning. Mol Omics 2021;17:130-141. [PMID: 33295914 DOI: 10.1039/d0mo00115e] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
6
Use Chou’s 5-steps rule to identify DNase I hypersensitive sites via dinucleotide property matrix and extreme gradient boosting. Mol Genet Genomics 2020;295:1431-1442. [DOI: 10.1007/s00438-020-01711-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Accepted: 07/11/2020] [Indexed: 01/08/2023]
7
iDHS-DSAMS: Identifying DNase I hypersensitive sites based on the dinucleotide property matrix and ensemble bagged tree. Genomics 2020;112:1282-1289. [DOI: 10.1016/j.ygeno.2019.07.017] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2019] [Revised: 07/14/2019] [Accepted: 07/30/2019] [Indexed: 11/21/2022]
8
i6mA-DNCP: Computational Identification of DNA N6-Methyladenine Sites in the Rice Genome Using Optimized Dinucleotide-Based Features. Genes (Basel) 2019;10:genes10100828. [PMID: 31635172 PMCID: PMC6826501 DOI: 10.3390/genes10100828] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 10/16/2019] [Accepted: 10/18/2019] [Indexed: 12/22/2022]  Open
9
Liang Y, Zhang S. iDHS-DMCAC: identifying DNase I hypersensitive sites with balanced dinucleotide-based detrending moving-average cross-correlation coefficient. SAR AND QSAR IN ENVIRONMENTAL RESEARCH 2019;30:429-445. [PMID: 31117818 DOI: 10.1080/1062936x.2019.1615546] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
10
Liu D, Meng X, Wu D, Qiu Z, Luo H. A Natural Isoquinoline Alkaloid With Antitumor Activity: Studies of the Biological Activities of Berberine. Front Pharmacol 2019;10:9. [PMID: 30837865 PMCID: PMC6382680 DOI: 10.3389/fphar.2019.00009] [Citation(s) in RCA: 88] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Accepted: 01/07/2019] [Indexed: 12/21/2022]  Open
11
Zhang S, Lin J, Su L, Zhou Z. pDHS-DSET: Prediction of DNase I hypersensitive sites in plant genome using DS evidence theory. Anal Biochem 2019;564-565:54-63. [DOI: 10.1016/j.ab.2018.10.018] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 10/10/2018] [Accepted: 10/15/2018] [Indexed: 10/28/2022]
12
Lyu C, Wang L, Zhang J. Deep learning for DNase I hypersensitive sites identification. BMC Genomics 2018;19:905. [PMID: 30598079 PMCID: PMC6311923 DOI: 10.1186/s12864-018-5283-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]  Open
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