Minjun Chen

Summary

Affiliation: Food and Drug Administration
Country: USA

Publications

  1. pmc Selecting a single model or combining multiple models for microarray-based classifier development?--a comparative analysis based on large and diverse datasets generated from the MAQC-II project
    Minjun Chen
    Center for Bioinformatics, Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR Rd, Jefferson, Arkansas, USA
    BMC Bioinformatics 12:S3. 2011
  2. pmc ebTrack: an environmental bioinformatics system built upon ArrayTrack
    Minjun Chen
    Department of Environmental and Occupational Medicine, UMDNJ RWJMS, 675 Hoes Lane, Piscataway, NJ 08854, USA
    BMC Proc 3:S5. 2009
  3. pmc The genomic features that affect the lengths of 5' untranslated regions in multicellular eukaryotes
    Chun Hsi Chen
    Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, 350 Taiwan, Republic of China
    BMC Bioinformatics 12:S3. 2011
  4. ncbi request reprint Quantitative structure-activity relationship models for predicting drug-induced liver injury based on FDA-approved drug labeling annotation and using a large collection of drugs
    Minjun Chen
    Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U S Food and Drug Administration, Jefferson, Arkansas 72079
    Toxicol Sci 136:242-9. 2013
  5. pmc atBioNet--an integrated network analysis tool for genomics and biomarker discovery
    Yijun Ding
    ICF International at FDA s National Center for Toxicological Research, Jefferson, AR 72079, USA
    BMC Genomics 13:325. 2012
  6. doi request reprint A unifying ontology to integrate histological and clinical observations for drug-induced liver injury
    Yuping Wang
    Divisions of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas 72079, USA
    Am J Pathol 182:1180-7. 2013
  7. doi request reprint A decade of toxicogenomic research and its contribution to toxicological science
    Minjun Chen
    Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas 72079, USA
    Toxicol Sci 130:217-28. 2012
  8. ncbi request reprint A testing strategy to predict risk for drug-induced liver injury in humans using high-content screen assays and the 'rule-of-two' model
    Minjun Chen
    Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
    Arch Toxicol 88:1439-49. 2014
  9. doi request reprint ArrayTrack: an FDA and public genomic tool
    Hong Fang
    Z Tech Corporation, ICF International Company, Jefferson, AR, USA
    Methods Mol Biol 563:379-98. 2009
  10. pmc The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
    Leming Shi
    National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas, USA
    Nat Biotechnol 28:827-38. 2010

Detail Information

Publications17

  1. pmc Selecting a single model or combining multiple models for microarray-based classifier development?--a comparative analysis based on large and diverse datasets generated from the MAQC-II project
    Minjun Chen
    Center for Bioinformatics, Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR Rd, Jefferson, Arkansas, USA
    BMC Bioinformatics 12:S3. 2011
    ..Both the nominated and candidate models from MAQC-II provide benchmarks to assess other methodologies for developing microarray-based predictive models...
  2. pmc ebTrack: an environmental bioinformatics system built upon ArrayTrack
    Minjun Chen
    Department of Environmental and Occupational Medicine, UMDNJ RWJMS, 675 Hoes Lane, Piscataway, NJ 08854, USA
    BMC Proc 3:S5. 2009
    ..The design of ebTrack is presented in detail and steps involved in its application are summarized through an illustrative application...
  3. pmc The genomic features that affect the lengths of 5' untranslated regions in multicellular eukaryotes
    Chun Hsi Chen
    Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, 350 Taiwan, Republic of China
    BMC Bioinformatics 12:S3. 2011
    ..Furthermore, different selective constraints between vertebrates and invertebrates may lead to differences in the determinants of 5'UTR length, which have not been systematically analyzed...
  4. ncbi request reprint Quantitative structure-activity relationship models for predicting drug-induced liver injury based on FDA-approved drug labeling annotation and using a large collection of drugs
    Minjun Chen
    Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U S Food and Drug Administration, Jefferson, Arkansas 72079
    Toxicol Sci 136:242-9. 2013
    ....
  5. pmc atBioNet--an integrated network analysis tool for genomics and biomarker discovery
    Yijun Ding
    ICF International at FDA s National Center for Toxicological Research, Jefferson, AR 72079, USA
    BMC Genomics 13:325. 2012
    ....
  6. doi request reprint A unifying ontology to integrate histological and clinical observations for drug-induced liver injury
    Yuping Wang
    Divisions of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas 72079, USA
    Am J Pathol 182:1180-7. 2013
    ..In conclusion, DILIo entrains different algorithms for an efficient meta-analysis of published findings for an improved understanding of mechanisms and clinical characteristics of DILI...
  7. doi request reprint A decade of toxicogenomic research and its contribution to toxicological science
    Minjun Chen
    Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas 72079, USA
    Toxicol Sci 130:217-28. 2012
    ..Finally, we provide a perspective on the future direction of toxicogenomics and how new technologies such as RNA-Seq may impact this field...
  8. ncbi request reprint A testing strategy to predict risk for drug-induced liver injury in humans using high-content screen assays and the 'rule-of-two' model
    Minjun Chen
    Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
    Arch Toxicol 88:1439-49. 2014
    ..Taken collectively, the proposed testing strategy can significantly improve the prediction of in vitro assays for detecting DILI liability in an early drug discovery phase. ..
  9. doi request reprint ArrayTrack: an FDA and public genomic tool
    Hong Fang
    Z Tech Corporation, ICF International Company, Jefferson, AR, USA
    Methods Mol Biol 563:379-98. 2009
    ..ArrayTrack is publicly available online ( http://www.fda.gov/nctr/science/centers/toxicoinformatics/ArrayTrack/index.htm ) and the prospective user can also request a local installation version by contacting the authors...
  10. pmc The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
    Leming Shi
    National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas, USA
    Nat Biotechnol 28:827-38. 2010
    ..The conclusions and recommendations from MAQC-II should be useful for regulatory agencies, study committees and independent investigators that evaluate methods for global gene expression analysis...
  11. doi request reprint High lipophilicity and high daily dose of oral medications are associated with significant risk for drug-induced liver injury
    Minjun Chen
    Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA
    Hepatology 58:388-96. 2013
    ..Conclusion: Apart from dose, lipophilicity contributes significantly to risk for hepatotoxicity. Applying the rule-of-two is an appropriate means of estimating risk for DILI compared with dose alone...
  12. doi request reprint Toward predictive models for drug-induced liver injury in humans: are we there yet?
    Minjun Chen
    Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, The US Food and Drug Administration, Jefferson, AR, USA
    Biomark Med 8:201-13. 2014
    ....
  13. pmc Differential gene expression profiling of mouse skin after sulfur mustard exposure: Extended time response and inhibitor effect
    Donald R Gerecke
    Environmental and Occupational Health Sciences Institute EOHSI, a joint institute of UMDNJ RW Johnson Medical School and Rutgers University, 170 Frelinghuysen Road, Piscataway, NJ 08854, USA
    Toxicol Appl Pharmacol 234:156-65. 2009
    ..These results can help in understanding the molecular mechanism of SM-induced blistering, as well as to test the efficacy of different inhibitors...
  14. ncbi request reprint FDA-approved drug labeling for the study of drug-induced liver injury
    Minjun Chen
    Division of Systems Biology, National Center for Toxicological Research, Food and Drug Administration, 3900 NCTR Road, Jefferson, AR 72079, USA
    Drug Discov Today 16:697-703. 2011
    ..The method is transparent and reproducible with a potential to serve as a common practice to study the DILI of marketed drugs for supporting drug discovery and biomarker development...
  15. doi request reprint High daily dose and being a substrate of cytochrome P450 enzymes are two important predictors of drug-induced liver injury
    Ke Yu
    Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U S Food and Drug Administration, Jefferson, Arkansas K Y, M C, J Z, W T National Center for Safety Evaluation of Drugs, National Institute for Food and Drug Control, China s State Food and Drug Administration, Beijing, China X G Department of Biostatistics, Shanghai Jiao Tong University School of Medicine, Shanghai, China B W and Department of Pharmacology, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia K I
    Drug Metab Dispos 42:744-50. 2014
    ..55; 95% CI, 0.65-3.68; P = 0.3246). Our findings will be useful in identifying the suspected medication as a cause of liver injury in clinical settings. ..
  16. doi request reprint Is toxicogenomics a more reliable and sensitive biomarker than conventional indicators from rats to predict drug-induced liver injury in humans?
    Min Zhang
    Center of Excellence for Bioinformatics, Division of Systems Biology, National Center for Toxicological Research, U S Food and Drug Administration, 3900 NCTR Road, Jefferson, Arkansas 72079, United States
    Chem Res Toxicol 25:122-9. 2012
    ..The study will facilitate further research to understand the role of genomic biomarkers from rats for assessing human hepatotoxicity...
  17. doi request reprint Evaluations of the trans-sulfuration pathway in multiple liver toxicity studies
    Laura K Schnackenberg
    Division of Systems Toxicology, National Center for Toxicological Research, Food and Drug Administration, FDA, Jefferson, AR 72079, USA
    Toxicol Appl Pharmacol 235:25-32. 2009
    ..The metabolic and transcriptomic results show that the trans-sulfuration pathway from SAMe to glutathione was disturbed due to the administration of heptatotoxicants...