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Joshua Xu
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The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
Nature biotechnology 28 (8), 827-838, 2010
8462010
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
Nature biotechnology 32 (9), 903-914, 2014
8402014
The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance
C Wang, B Gong, PR Bushel, J Thierry-Mieg, D Thierry-Mieg, J Xu, ...
Nature biotechnology 32 (9), 926-932, 2014
5072014
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, 1-12, 2015
3942015
An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era
Z Su, H Fang, H Hong, L Shi, W Zhang, W Zhang, Y Zhang, Z Dong, ...
Genome biology 15, 1-25, 2014
1722014
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
1472021
Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures
SA Munro, SP Lund, PS Pine, H Binder, DA Clevert, A Conesa, J Dopazo, ...
Nature communications 5 (1), 5125, 2014
1262014
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
1142018
DNA sequence analysis of plasmids from multidrug resistant Salmonella enterica serotype Heidelberg isolates
J Han, AM Lynne, DE David, H Tang, J Xu, R Nayak, P Kaldhone, ...
PloS one 7 (12), e51160, 2012
1032012
Microarray analysis of virulence gene profiles in Salmonella serovars from food/food animal environment
W Zou, SF Al-Khaldi, WS Branham, T Han, JC Fuscoe, J Han, SL Foley, ...
The Journal of Infection in Developing Countries 5 (02), 94-105, 2011
642011
Assessing batch effects of genotype calling algorithm BRLMM for the Affymetrix GeneChip Human Mapping 500 K array set using 270 HapMap samples
H Hong, Z Su, W Ge, L Shi, R Perkins, H Fang, J Xu, JJ Chen, T Han, ...
Bmc Bioinformatics 9, 1-13, 2008
612008
Comprehensive assessments of RNA-seq by the SEQC consortium: FDA-led efforts advance precision medicine
J Xu, B Gong, L Wu, S Thakkar, H Hong, W Tong
Pharmaceutics 8 (1), 8, 2016
572016
Liquid biopsy and its role in an advanced clinical trial for lung cancer
DJ Johann Jr, M Steliga, IJ Shin, D Yoon, K Arnaoutakis, L Hutchins, ...
Experimental Biology and Medicine 243 (3), 262-271, 2018
562018
Symplectic transformations in the n-mode coherent-state representation using integration within an ordered product of operators
F Hong-Yi, X Zhi-Hua
Physical Review A 50 (4), 2921, 1994
501994
An FDA bioinformatics tool for microbial genomics research on molecular characterization of bacterial foodborne pathogens using microarrays
H Fang, J Xu, D Ding, SA Jackson, IR Patel, JG Frye, W Zou, R Nayak, ...
BMC bioinformatics 11, 1-11, 2010
482010
FDA drug labeling: rich resources to facilitate precision medicine, drug safety, and regulatory science
H Fang, SC Harris, Z Liu, G Zhou, G Zhang, J Xu, L Rosario, PC Howard, ...
Drug discovery today 21 (10), 1566-1570, 2016
442016
Towards accurate and reliable resolution of structural variants for clinical diagnosis
Z Liu, R Roberts, TR Mercer, J Xu, FJ Sedlazeck, W Tong
Genome biology 23 (1), 68, 2022
422022
Study of serious adverse drug reactions using FDA-approved drug labeling and MedDRA
L Wu, T Ingle, Z Liu, A Zhao-Wong, S Harris, S Thakkar, G Zhou, J Yang, ...
BMC bioinformatics 20, 129-139, 2019
422019
A deep learning model to recognize food contaminating beetle species based on elytra fragments
L Wu, Z Liu, T Bera, H Ding, DA Langley, A Jenkins-Barnes, C Furlanello, ...
Computers and Electronics in Agriculture 166, 105002, 2019
382019
Trade-off predictivity and explainability for machine-learning powered predictive toxicology: An in-depth investigation with Tox21 data sets
L Wu, R Huang, IV Tetko, Z Xia, J Xu, W Tong
Chemical research in toxicology 34 (2), 541-549, 2021
362021
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