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Hao Lv
Hao Lv
PhD, Lecturer, UESTC
Bestätigte E-Mail-Adresse bei uestc.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1932019
i6mA-Pred: identifying DNA N6-methyladenine sites in the rice genome
W Chen, H Lv, F Nie, H Lin
Bioinformatics 35 (16), 2796-2800, 2019
1912019
Evaluation of different computational methods on 5-methylcytosine sites identification
H Lv, ZM Zhang, SH Li, JX Tan, W Chen, H Lin
Briefings in bioinformatics 21 (3), 982-995, 2020
1372020
iRNA-2OM: A Sequence-Based Predictor for Identifying 2′-O-Methylation Sites in Homo sapiens
H Yang, H Lv, H Ding, W Chen, H Lin
Journal of computational biology 25 (11), 1266-1277, 2018
1312018
Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method
H Lv, FY Dao, ZX Guan, H Yang, YW Li, H Lin
Briefings in bioinformatics 22 (4), bbaa255, 2021
1082021
iDNA-MS: an integrated computational tool for detecting DNA modification sites in multiple genomes
H Lv, FY Dao, D Zhang, ZX Guan, H Yang, W Su, ML Liu, H Ding, W Chen, ...
Iscience 23 (4), 2020
872020
A computational platform to identify origins of replication sites in eukaryotes
FY Dao, H Lv, H Zulfiqar, H Yang, W Su, H Gao, H Ding, H Lin
Briefings in bioinformatics 22 (2), 1940-1950, 2021
862021
iRNA-m7G: identifying N7-methylguanosine sites by fusing multiple features
W Chen, P Feng, X Song, H Lv, H Lin
Molecular Therapy-Nucleic Acids 18, 269-274, 2019
822019
A comparison and assessment of computational method for identifying recombination hotspots in Saccharomyces cerevisiae
H Yang, W Yang, FY Dao, H Lv, H Ding, W Chen, H Lin
Briefings in Bioinformatics 21 (5), 1568-1580, 2020
802020
Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design
H Lv, L Shi, JW Berkenpas, FY Dao, H Zulfiqar, H Ding, Y Zhang, L Yang, ...
Briefings in bioinformatics 22 (6), bbab320, 2021
742021
Computational identification of N6-methyladenosine sites in multiple tissues of mammals
FY Dao, H Lv, YH Yang, H Zulfiqar, H Gao, H Lin
Computational and structural biotechnology journal 18, 1084-1091, 2020
742020
DeepYY1: a deep learning approach to identify YY1-mediated chromatin loops
FY Dao, H Lv, D Zhang, ZM Zhang, L Liu, H Lin
Briefings in bioinformatics 22 (4), bbaa356, 2021
722021
iCarPS: a computational tool for identifying protein carbonylation sites by novel encoded features
D Zhang, ZC Xu, W Su, YH Yang, H Lv, H Yang, H Lin
Bioinformatics 37 (2), 171-177, 2021
712021
DeepIPs: comprehensive assessment and computational identification of phosphorylation sites of SARS-CoV-2 infection using a deep learning-based approach
H Lv, FY Dao, H Zulfiqar, H Lin
Briefings in Bioinformatics 22 (6), bbab244, 2021
682021
iDNA6mA-Rice: a computational tool for detecting N6-methyladenine sites in rice
H Lv, FY Dao, ZX Guan, D Zhang, JX Tan, Y Zhang, W Chen, H Lin
Frontiers in genetics 10, 793, 2019
632019
PPD: a manually curated database for experimentally verified prokaryotic promoters
W Su, ML Liu, YH Yang, JS Wang, SH Li, H Lv, FY Dao, H Yang, H Lin
Journal of Molecular Biology 433 (11), 166860, 2021
432021
A survey for predicting enzyme family classes using machine learning methods
JX Tan, H Lv, F Wang, FY Dao, W Chen, H Ding
Current drug targets 20 (5), 540-550, 2019
432019
Identifying phage virion proteins by using two-step feature selection methods
JX Tan, FY Dao, H Lv, PM Feng, H Ding
Molecules 23 (8), 2000, 2018
432018
Advances in mapping the epigenetic modifications of 5‐methylcytosine (5mC), N6‐methyladenine (6mA), and N4‐methylcytosine (4mC)
H Lv, FY Dao, D Zhang, H Yang, H Lin
Biotechnology and Bioengineering 118 (11), 4204-4216, 2021
422021
A sequence-based deep learning approach to predict CTCF-mediated chromatin loop
H Lv, FY Dao, H Zulfiqar, W Su, H Ding, L Liu, H Lin
Briefings in bioinformatics 22 (5), bbab031, 2021
422021
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