Heng Luo
Titolo
Citata da
Citata da
Anno
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
SMIII Consortium
Nature Biotechnology 32, 903–914, 2014
5632014
A rat RNA-Seq transcriptomic BodyMap across 11 organs and 4 developmental stages
Y Yu, JC Fuscoe, C Zhao, C Guo, M Jia, T Qing, DI Bannon, L Lancashire, ...
Nature communications 5 (1), 1-11, 2014
2262014
Comparison of RNA-seq and microarray-based models for clinical endpoint prediction
W Zhang, Y Yu, F Hertwig, J Thierry-Mieg, W Zhang, D Thierry-Mieg, ...
Genome Biology 16 (1), 133, 2015
2232015
DRAR-CPI: a server for identifying drug repositioning potential and adverse drug reactions via the chemical–protein interactome
H Luo, J Chen, L Shi, M Mikailov, H Zhu, K Wang, L He, L Yang
Nucleic acids research 39 (suppl_2), W492-W498, 2011
1842011
Exploring off-targets and off-systems for adverse drug reactions via chemical-protein interactome—clozapine-induced agranulocytosis as a case study
L Yang, K Wang, J Chen, AG Jegga, H Luo, L Shi, C Wan, X Guo, S Qin, ...
PLoS Computational Biology 7 (3), e1002016, 2011
982011
Molecular docking to identify associations between drugs and Class I human leukocyte antigens for predicting idiosyncratic drug reactions
H Luo, T Du, P Zhou, L Yang, H Mei, HW Ng, W Zhang, M Shu, W Tong, ...
Comb Chem High Throughput Screen. 18 (3), 296-304(9), 2015
712015
DDI-CPI, a server that predicts drug–drug interactions through implementing the chemical–protein interactome
H Luo, P Zhang, H Huang, J Huang, E Kao, L Shi, L He, L Yang
Nucleic acids research 42 (W1), W46-W52, 2014
632014
Drug repositioning for diabetes based on 'omics' data mining
M Zhang, H Luo, Z Xi, E Rogaeva
PLOS ONE 10 (5), e0126082, 2015
542015
SePreSA: a server for the prediction of populations susceptible to serious adverse drug reactions implementing the methodology of a chemical–protein interactome
L Yang, H Luo, J Chen, Q Xing, L He
Nucleic acids research 37 (suppl_2), W406-W412, 2009
542009
Interpretable drug target prediction using deep neural representation
Y Gao, A Fokoue, H Luo, A Iyengar, S Dey, P Zhang
Proceedings of IJCAI-ECAI-2018, 2018
522018
Estrogenic activity data extraction and in silico prediction show the endocrine disruption potential of bisphenol a replacement compounds
HW Ng, M Shu, H Luo, H Ye, W Ge, R Perkins, W Tong, H Hong
Chemical Research in Toxicology 28 (9), 1784-1795, 2015
482015
Competitive molecular docking approach for predicting estrogen receptor subtype α agonists and antagonists
HW Ng, W Zhang, M Shu, H Luo, W Ge, R Perkins, W Tong, H Hong
BMC Bioinformatics 2014 (15(Suppl 11):S4), 2014
482014
Machine learning methods for predicting HLA-peptide binding activity
H Luo, H Ye, HW Ng, L Shi, W Tong, D Mendrick, H Hong
Bioinformatics and Biology Insights 9 (S3), 21-29, 2015
452015
HLA-B*59:01: a marker for Stevens-Johnson syndrome/toxic epidermal necrolysis caused by methazolamide in Han Chinese
F Yang, J Xuan, J Chen, H Zhong, H Luo, P Zhou, X Sun, L He, S Chen, ...
The Pharmacogenomics Journal 16, 83–87, 2016
382016
Predicting adverse drug reactions through interpretable deep learning framework
S Dey, H Luo, A Fokoue, J Hu, P Zhang
BMC Bioinformatics 19 (Suppl 21), 476, 2018
342018
Development and validation of Decision Forest model for estrogen receptor binding prediction of chemicals using large data sets
HW Ng, SW Doughty, H Luo, H Ye, W Ge, W Tong, H Hong
Chemical Research in Toxicology, 2015
342015
HLA-B*13:01 is associated with salazosulfapyridine-induced drug rash with eosinophilia and systemic symptoms in Chinese Han population
F Yang, B Gu, L Zhang, J Xuan, H Luo, P Zhou, Q Zhu, S Yan, S Chen, ...
Pharmacogenomics 15 (11), 1461-1469, 2014
312014
Whole genome sequencing of 35 individuals provides insights into the genetic architecture of Korean population
W Zhang, J Meehan, Z Su, HW Ng, M Shu, H Luo, W Ge, R Perkins, ...
BMC Bioinformatics 2014 (15(Suppl 11):S6), 2014
272014
Comparing genetic variants detected in the 1000 genomes project with SNPs determined by the International HapMap Consortium
W Zhang, HW Ng, M Shu, H Luo, Z Su, W Ge, R Perkins, W Tong, H Hong
Journal of Genetics 94, 2015
202015
DPDR-CPI, a server that predicts drug positioning and drug repositioning via chemical-protein interactome
H Luo, P Zhang, XH Cao, D Du, H Ye, H Huang, C Li, S Qin, C Wan, L Shi, ...
Scientific Reports 6, 35996, 2016
192016
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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