Qian Liu
Qian Liu
The Children’s Hospital of Philadelphia
Verified email at email.chop.edu
Cited by
Cited by
Detection of DNA base modifications by deep recurrent neural network on Oxford Nanopore sequencing data
Q Liu, L Fang, G Yu, D Wang, CL Xiao, K Wang
Nature communications 10 (1), 1-11, 2019
‘Double water exclusion’: a hypothesis refining the O-ring theory for the hot spots at protein interfaces
J Li, Q Liu
Bioinformatics 25 (6), 743-750, 2009
Interrogating the “unsequenceable” genomic trinucleotide repeat disorders by long-read sequencing
Q Liu, P Zhang, D Wang, W Gu, K Wang
Genome Medicine 9 (1), 65, 2017
Binding Affinity Prediction for Protein–Ligand Complexes Based on β Contacts and B Factor
Q Liu, CK Kwoh, J Li
Journal of chemical information and modeling 53 (11), 3076-3085, 2013
Long-read sequencing identified intronic repeat expansions in SAMD12 from Chinese pedigrees affected with familial cortical myoclonic tremor with epilepsy
S Zeng, M Zhang, X Wang, Z Hu, J Li, N Li, J Wang, F Liang, Q Yang, ...
Journal of medical genetics 56 (4), 265-270, 2019
Use B-factor related features for accurate classification between protein binding interfaces and crystal packing contacts
Q Liu, Z Li, J Li
BMC bioinformatics 15 (16), 1-11, 2014
Protein binding hot spots and the residue-residue pairing preference: a water exclusion perspective
Q Liu, J Li
BMC bioinformatics 11 (1), 244, 2010
Improving keyword based web image search with visual feature distribution and term expansion
Z Gong, Q Liu
Knowledge and Information Systems 21 (1), 113-132, 2009
Tertiary structure-based prediction of conformational B-cell epitopes through B factors
J Ren, Q Liu, J Ellis, J Li
Bioinformatics 30 (12), i264-i273, 2014
NanoMod: a computational tool to detect DNA modifications using Nanopore long-read sequencing data
Q Liu, DC Georgieva, D Egli, K Wang
BMC genomics 20 (1), 31-42, 2019
Propensity vectors of low‐ASA residue pairs in the distinction of protein interactions
Q Liu, J Li
Proteins: Structure, Function, and Bioinformatics 78 (3), 589-602, 2010
Positive-unlabeled learning for the prediction of conformational B-cell epitopes
J Ren, Q Liu, J Ellis, J Li
BMC bioinformatics 16 (S18), S12, 2015
Long-read sequence assembly of the firefly Pyrocoelia pectoralis genome
X Fu, J Li, Y Tian, W Quan, S Zhang, Q Liu, F Liang, X Zhu, L Zhang, ...
GigaScience 6 (12), gix112, 2017
Connecting rules from paired miRNA and mRNA expression data sets of HCV patients to detect both inverse and positive regulatory relationships
R Song, Q Liu, T Liu, J Li
BMC genomics 16 (S2), S11, 2015
Rule discovery and distance separation to detect reliable miRNA biomarkers for the diagnosis of lung squamous cell carcinoma
R Song, Q Liu, G Hutvagner, H Nguyen, K Ramamohanarao, L Wong, J Li
BMC genomics 15 (S9), S16, 2014
Structural analysis of the hot spots in the binding between H1N1 HA and the 2D1 antibody: do mutations of H1N1 from 1918 to 2009 affect much on this binding?
Q Liu, SCH Hoi, CTT Su, Z Li, CK Kwoh, L Wong, J Li
Bioinformatics 27 (18), 2529-2536, 2011
Detection of base analogs incorporated during DNA replication by nanopore sequencing
D Georgieva, Q Liu, K Wang, D Egli
Nucleic Acids Research, gkaa517, 2020
iMEGES: integrated mental-disorder GEnome score by deep neural network for prioritizing the susceptibility genes for mental disorders in personal genomes
A Khan, Q Liu, K Wang
BMC bioinformatics 19 (17), 501, 2018
Co-occurring atomic contacts for the characterization of protein binding hot spots
Q Liu, J Ren, J Song, J Li
PloS one 10 (12), e0144486, 2015
Integrating water exclusion theory into β contacts to predict binding free energy changes and binding hot spots
Q Liu, SCH Hoi, CK Kwoh, L Wong, J Li
BMC bioinformatics 15 (1), 57, 2014
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