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Zhichao Liu
Zhichao Liu
Adresă de e-mail confirmată pe boehringer-ingelheim.com
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The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models.
L Shi, G Campbell, WD Jones, F Campagne, Z Wen, SJ Walker, Z Su, ...
Nature biotechnology 28 (8), 827, 2010
8992010
A heuristic approach to determine an appropriate number of topics in topic modeling
W Zhao, JJ Chen, R Perkins, Z Liu, W Ge, Y Ding, W Zou
BMC bioinformatics 16, 1-10, 2015
4832015
FDA-approved drug labeling for the study of drug-induced liver injury
M Chen, V Vijay, Q Shi, Z Liu, H Fang, W Tong
Drug discovery today 16 (15-16), 697-703, 2011
4382011
In silico drug repositioning–what we need to know
Z Liu, H Fang, K Reagan, X Xu, DL Mendrick, W Slikker Jr, W Tong
Drug discovery today 18 (3-4), 110-115, 2013
2102013
Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology
IW Deveson, B Gong, K Lai, JS LoCoco, TA Richmond, J Schageman, ...
Nature biotechnology 39 (9), 1115-1128, 2021
1942021
A wavelength selection method based on randomization test for near-infrared spectral analysis
H Xu, Z Liu, W Cai, X Shao
Chemometrics and Intelligent Laboratory Systems 97 (2), 189-193, 2009
1772009
Comparing SVM and ANN based machine learning methods for species identification of food contaminating beetles
H Bisgin, T Bera, H Ding, HG Semey, L Wu, Z Liu, AE Barnes, DA Langley, ...
Scientific reports 8 (1), 6532, 2018
1342018
Mining FDA drug labels using an unsupervised learning technique-topic modeling
H Bisgin, Z Liu, H Fang, X Xu, W Tong
BMC bioinformatics 12 (10), 1-8, 2011
1312011
AI-based language models powering drug discovery and development
Z Liu, RA Roberts, M Lal-Nag, X Chen, R Huang, W Tong
Drug Discovery Today 26 (11), 2593-2607, 2021
1252021
Toxicogenomics: A 2020 Vision
Z Liu, R Huang, R Roberts, W Tong
Trends in Pharmacological Sciences 40 (2), 92-103, 2019
1212019
Lessons Learned from Two Decades of Anticancer Drugs
Z Liu, B Delavan, R Roberts, W Tong
Trends in Pharmacological Sciences 38 (10), 852-872, 2017
1152017
Drug-induced liver injury severity and toxicity (DILIst): Binary classification of 1279 drugs by human hepatotoxicity
S Thakkar, T Li, Z Liu, L Wu, R Roberts, W Tong
Drug discovery today 25 (1), 201-208, 2020
1142020
Toward Clinical Implementation of Next-Generation Sequencing-Based Genetic Testing in Rare Diseases: Where Are We?
Z Liu, L Zhu, R Roberts, W Tong
Trends in Genetics 35 (11), 852-867, 2019
1102019
t4 report: Supporting Read-Across Using Biological Data
H Zhu, M Bouhifd, N Kleinstreuer, ED Kroese, Z Liu, T Luechtefeld, ...
Altex 33 (2), 167, 2016
1102016
Translating clinical findings into knowledge in drug safety evaluation-drug induced liver injury prediction system (DILIps)
Z Liu, Q Shi, D Ding, R Kelly, H Fang, W Tong
PLoS computational biology 7 (12), e1002310, 2011
1012011
The liver toxicity knowledge base: a systems approach to a complex end point
M Chen, J Zhang, Y Wang, Z Liu, R Kelly, G Zhou, H Fang, J Borlak, ...
Clinical Pharmacology & Therapeutics 93 (5), 409-412, 2013
1002013
Computational drug repositioning for rare diseases in the era of precision medicine
B Delavan, R Roberts, R Huang, W Bao, W Tong, Z Liu
Drug discovery today 23 (2), 382-394, 2018
892018
Similarities and differences between variants called with human reference genome HG19 or HG38
B Pan, R Kusko, W Xiao, Y Zheng, Z Liu, C Xiao, S Sakkiah, W Guo, ...
BMC bioinformatics 20 (2), 17-29, 2019
852019
Investigating drug repositioning opportunities in FDA drug labels through topic modeling
H Bisgin, Z Liu, R Kelly, H Fang, X Xu, W Tong
BMC bioinformatics 13, 1-9, 2012
812012
DeepDILI: Deep learning-powered drug-induced liver injury prediction using model-level representation
T Li, W Tong, R Roberts, Z Liu, S Thakkar
Chemical Research in Toxicology 34 (2), 550-565, 2020
682020
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