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Weida Tong: [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. Zhenqiang Su, Huixiao Hong, Roger Perkins, Xueguang Shao, Wensheng Cai, Weida Tong
    Consensus analysis of multiple classifiers using non-repetitive variables: Diagnostic application to microarray gene expression data. [Citation Graph (0, 0)][DBLP]
    Computational Biology and Chemistry, 2007, v:31, n:1, pp:48-56 [Journal]
  4. Weida Tong, Valerian T. D'Souza
    The Role of the Carboxylate Ion in Models of Acyl-Chymotrypsin. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Chemistry, 1995, v:16, n:6, pp:705-714 [Journal]
  5. Yiyu Cheng, Minjun Chen, Weida Tong
    An Approach to Comparative Analysis of Chromatographic Fingerprints for Assuring the Quality of Botanical Drugs. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 2003, v:43, n:3, pp:1068-1076 [Journal]
  6. 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]
  7. Weida Tong, Huixiao Hong, Hong Fang, Qian Xie, Roger Perkins
    Decision Forest: Combining the Predictions of Multiple Independent Decision Tree Models. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 2003, v:43, n:2, pp:525-531 [Journal]
  8. Weida Tong, David R. Lowis, Roger Perkins, Yu Chen, William J. Welsh, Dean W. Goddette, Trevor W. Heritage, Daniel M. Sheehan
    Evaluation of Quantitative Structure-Activity Relationship Methods for Large-Scale Prediction of Chemicals Binding to the Estrogen Receptor. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 1998, v:38, n:4, pp:669-677 [Journal]

  9. Accurate Prediction and Recognition of Subfamilies of G Protein-Coupled Receptors from Amino Acid Sequences. [Citation Graph (, )][DBLP]


  10. GOFFA: Gene Ontology For Functional Analysis - A FDA Gene Ontology Tool for Analysis of Genomic and Proteomic Data. [Citation Graph (, )][DBLP]


  11. Microarray analysis distinguishes differential gene expression patterns from large and small colony Thymidine kinase mutants of L5178Y mouse lymphoma cells. [Citation Graph (, )][DBLP]


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


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


  14. 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]


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


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


  17. Decision Forest Analysis of 61 Single Nucleotide Polymorphisms in a Case-Control Study of Esophageal Cancer; a novel method. [Citation Graph (, )][DBLP]


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


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


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