| iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition H Lin, EZ Deng, H Ding, W Chen, KC Chou Nucleic acids research 42 (21), 12961-12972, 2014 | 537 | 2014 |
| iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition SH Guo, EZ Deng, LQ Xu, H Ding, H Lin, W Chen, KC Chou Bioinformatics 30 (11), 1522-1529, 2014 | 398 | 2014 |
| iACP: a sequence-based tool for identifying anticancer peptides W Chen, H Ding, P Feng, H Lin, KC Chou Oncotarget 7 (13), 16895, 2016 | 368 | 2016 |
| iRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition W Chen, P Feng, H Ding, H Lin, KC Chou Analytical biochemistry 490, 26-33, 2015 | 360 | 2015 |
| iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC P Feng, H Yang, H Ding, H Lin, W Chen, KC Chou Genomics 111 (1), 96-102, 2019 | 302 | 2019 |
| iRNA-PseColl: identifying the occurrence sites of different RNA modifications by incorporating collective effects of nucleotides into PseKNC P Feng, H Ding, H Yang, W Chen, H Lin, KC Chou Molecular Therapy-Nucleic Acids 7, 155-163, 2017 | 282 | 2017 |
| iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties W Chen, H Yang, P Feng, H Ding, H Lin Bioinformatics 33 (22), 3518-3523, 2017 | 261 | 2017 |
| Predicting subcellular localization of mycobacterial proteins by using Chou's pseudo amino acid composition H Lin, H Ding, FB Guo, AY Zhang, J Huang Protein and peptide letters 15 (7), 739-744, 2008 | 255 | 2008 |
| iCTX-type: a sequence-based predictor for identifying the types of conotoxins in targeting ion channels H Ding, EZ Deng, LF Yuan, L Liu, H Lin, W Chen, KC Chou BioMed research international 2014, 2014 | 246 | 2014 |
| Prediction of cell wall lytic enzymes using Chou's amphiphilic pseudo amino acid composition H Ding, L Luo, H Lin Protein and peptide letters 16 (4), 351-355, 2009 | 223 | 2009 |
| iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences W Chen, P Feng, H Yang, H Ding, H Lin, KC Chou Oncotarget 8 (3), 4208, 2017 | 206 | 2017 |
| iRNA-3typeA: identifying three types of modification at RNA’s adenosine sites W Chen, P Feng, H Yang, H Ding, H Lin, KC Chou Molecular Therapy-Nucleic Acids 11, 468-474, 2018 | 204 | 2018 |
| Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection technique FY Dao, H Lv, F Wang, CQ Feng, H Ding, W Chen, H Lin Bioinformatics 35 (12), 2075-2083, 2019 | 193 | 2019 |
| Naive Bayes classifier with feature selection to identify phage virion proteins PM Feng, H Ding, W Chen, H Lin Computational and mathematical methods in medicine 2013, 2013 | 181 | 2013 |
| Identification of bacteriophage virion proteins by the ANOVA feature selection and analysis H Ding, PM Feng, W Chen, H Lin Molecular BioSystems 10 (8), 2229-2235, 2014 | 178 | 2014 |
| iRNA (m6A)-PseDNC: identifying N6-methyladenosine sites using pseudo dinucleotide composition W Chen, H Ding, X Zhou, H Lin, KC Chou Analytical biochemistry 561, 59-65, 2018 | 174 | 2018 |
| Predicting ion channels and their types by the dipeptide mode of pseudo amino acid composition H Lin, H Ding Journal of theoretical biology 269 (1), 64-69, 2011 | 163 | 2011 |
| Prediction of subcellular localization of apoptosis protein using Chou’s pseudo amino acid composition H Lin, H Wang, H Ding, YL Chen, QZ Li Acta biotheoretica 57, 321-330, 2009 | 161 | 2009 |
| Identification of secretory proteins in mycobacterium tuberculosis using pseudo amino acid composition H Yang, H Tang, XX Chen, CJ Zhang, PP Zhu, H Ding, W Chen, H Lin BioMed research international 2016, 2016 | 139 | 2016 |
| Using deformation energy to analyze nucleosome positioning in genomes W Chen, P Feng, H Ding, H Lin, KC Chou Genomics 107 (2-3), 69-75, 2016 | 135 | 2016 |
Hao LinUniversity of Electronic Science and Technology of ChinaBestätigte E-Mail-Adresse bei uestc.edu.cn
