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Leming M. Shi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Yongxi Tan, Leming M. Shi, Saber M. Hussain, Jun Xu, Weida Tong, John M. Frazier, Charles Wang
    Integrating time-course microarray gene expression profiles with cytotoxicity for identification of biomarkers in primary rat hepatocytes exposed to cadmium. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:1, pp:77-87 [Journal]
  2. Yongxi Tan, Leming M. Shi, Weida Tong, G. T. Gene Hwang, Charles Wang
    Multi-class tumor classification by discriminant partial least squares using microarray gene expression data and assessment of classification models. [Citation Graph (0, 0)][DBLP]
    Computational Biology and Chemistry, 2004, v:28, n:3, pp:235-243 [Journal]
  3. Leming M. Shi, Yi Fan, Jae K. Lee, Mark Waltham, Darren T. Andrews, Uwe Scherf, Kenneth D. Paull, John N. Weinstein
    Mining and Visualizing Large Anticancer Drug Discovery Databases. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 2000, v:40, n:2, pp:367-379 [Journal]
  4. Leming M. Shi, Yi Fan, Timothy G. Myers, Patrick M. O'Connor, Kenneth D. Paull, Stephen H. Friend, John N. Weinstein
    Mining the NCI Anticancer Drug Discovery Databases: Genetic Function Approximation for the QSAR Study of Anticancer Ellipticine Analogues. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 1998, v:38, n:2, pp:189-199 [Journal]
  5. Leming M. Shi, Hong Fang, Weida Tong, Jie Wu, Roger Perkins, Robert M. Blair, William S. Branham, Stacy L. Dial, Carrie L. Moland, Daniel M. Sheehan
    QSAR Models Using a Large Diverse Set of Estrogens. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 2001, v:41, n:1, pp:186-195 [Journal]

  6. Gene Expression Profiles Distinguish the Carcinogenic Effects of Aristolochic Acid in Target (Kidney) and Non-target (Liver) Tissues in Rats. [Citation Graph (, )][DBLP]


  7. Improvement in the Reproducibility and Accuracy of DNA Microarray Quantification by Optimizing Hybridization Conditions. [Citation Graph (, )][DBLP]


  8. Analysis of gene expression changes in relation to toxicity and tumorigenesis in the livers of Big Blue transgenic rats fed comfrey (Symphytum officinale). [Citation Graph (, )][DBLP]


  9. Differential gene expression in mouse primary hepatocytes exposed to the peroxisome proliferator-activated receptor alpha agonists. [Citation Graph (, )][DBLP]


  10. Very Important Pool (VIP) genes - an application for microarray-based molecular signatures. [Citation Graph (, )][DBLP]


  11. The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies. [Citation Graph (, )][DBLP]


  12. Assessing batch effects of genotype calling algorithm BRLMM for the Affymetrix GeneChip Human Mapping 500 K array set using 270 HapMap samples. [Citation Graph (, )][DBLP]


  13. Cross-platform comparability of microarray technology: Intra-platform consistency and appropriate data analysis procedures are essential. [Citation Graph (, )][DBLP]


  14. Quality control and quality assessment of data from surface-enhanced laser desorption/ionization (SELDI) time-of flight (TOF) mass spectrometry (MS). [Citation Graph (, )][DBLP]


  15. Bioinformatics approaches for cross-species liver cancer analysis based on microarray gene expression profiling. [Citation Graph (, )][DBLP]


  16. A microarray study of MPP+-treated PC12 Cells: Mechanisms of toxicity (MOT) analysis using bioinformatics tools. [Citation Graph (, )][DBLP]


  17. Microarray scanner calibration curves: characteristics and implications. [Citation Graph (, )][DBLP]


  18. Microarray platform consistency is revealed by biologically functional analysis of gene expression profiles. [Citation Graph (, )][DBLP]


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