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Edward R. Dougherty: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. S. Baeg, A. T. Popov, V. G. Kamat, Sinan Batman, Krishnamoorthy Sivakumar, Nasser D. Kehtarnavaz, Edward R. Dougherty, R. B. Shah
    Segmentation of Mammograms into Distinct Morphological Texture Regions. [Citation Graph (0, 0)][DBLP]
    CBMS, 1998, pp:20-25 [Conf]
  2. Edward R. Dougherty, Michael L. Bittner, Yidong Chen, Seungchan Kim, Krishnamoorthy Sivakumar, Junior Barrera, Paul S. Meltzer, Jeffrey M. Trent
    Nonlinear filters in genomic control. [Citation Graph (0, 0)][DBLP]
    NSIP, 1999, pp:10-14 [Conf]
  3. Edward R. Dougherty
    The Granulometric Size Density in Filter Optimization. [Citation Graph (0, 0)][DBLP]
    SIBGRAPI, 1999, pp:257-264 [Conf]
  4. Marcel Brun, Roberto Hirata Jr., Junior Barrera, Edward R. Dougherty
    Hybrid Human-Machine Non-Linear Filter Design Using Envelopes. [Citation Graph (0, 0)][DBLP]
    SIBGRAPI, 2001, pp:106-111 [Conf]
  5. Nina S. T. Hirata, Junior Barrera, Edward R. Dougherty
    Design of Statistically Optimal Stack Filters. [Citation Graph (0, 0)][DBLP]
    SIBGRAPI, 1999, pp:265-274 [Conf]
  6. Sanju Attoor, Edward R. Dougherty, Yidong Chen, Michael L. Bittner, Jeffrey M. Trent
    Which is better for cDNA-microarray-based classification: ratios or direct intensities. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:16, pp:2513-2520 [Journal]
  7. Ulisses Braga-Neto, Edward R. Dougherty
    Is cross-validation valid for small-sample microarray classification? [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:3, pp:374-380 [Journal]
  8. Ulisses Braga-Neto, Ronaldo Fumio Hashimoto, Edward R. Dougherty, Danh V. Nguyen, Raymond J. Carroll
    Is cross-validation better than resubstitution for ranking genes? [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:2, pp:253-258 [Journal]
  9. Marcel Brun, David Sabbagh, Seungchan Kim, Edward R. Dougherty
    Corrected Small-sample Estimation of the Bayes Error. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:8, pp:944-951 [Journal]
  10. Yidong Chen, Vishnu Kamat, Edward R. Dougherty, Michael L. Bittner, Paul S. Meltzer, Jeffrey M. Trent
    Ratio statistics of gene expression levels and applications to microarray data analysis. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2002, v:18, n:9, pp:1207-1215 [Journal]
  11. Ashish Choudhary, Marcel Brun, Jianping Hua, James Lowey, Edward Suh, Edward R. Dougherty
    Genetic test bed for feature selection. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:7, pp:837-842 [Journal]
  12. Ashish Choudhary, Aniruddha Datta, Michael L. Bittner, Edward R. Dougherty
    Intervention in a family of Boolean networks. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:2, pp:226-232 [Journal]
  13. Aniruddha Datta, Ashish Choudhary, Michael L. Bittner, Edward R. Dougherty
    External control in Markovian genetic regulatory networks: the imperfect information case. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:6, pp:924-930 [Journal]
  14. Wenjiang J. Fu, Edward R. Dougherty, Bani K. Mallick, Raymond J. Carroll
    How many samples are needed to build a classifier: a general sequential approach. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:1, pp:63-70 [Journal]
  15. Ronaldo Fumio Hashimoto, Seungchan Kim, Ilya Shmulevich, Wei Zhang, Michael L. Bittner, Edward R. Dougherty
    Growing genetic regulatory networks from seed genes. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:8, pp:1241-1247 [Journal]
  16. Jianping Hua, Zixiang Xiong, James Lowey, Edward Suh, Edward R. Dougherty
    Optimal number of features as a function of sample size for various classification rules. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:8, pp:1509-1515 [Journal]
  17. Kyeong Eun Lee, Naijun Sha, Edward R. Dougherty, Marina Vannucci, Bani K. Mallick
    Gene selection: a Bayesian variable selection approach. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:1, pp:90-97 [Journal]
  18. Ranadip Pal, Aniruddha Datta, Michael L. Bittner, Edward R. Dougherty
    Intervention in context-sensitive probabilistic Boolean networks. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:7, pp:1211-1218 [Journal]
  19. Ranadip Pal, Aniruddha Datta, Albert J. Fornace, Michael L. Bittner, Edward R. Dougherty
    Boolean relationships among genes responsive to ionizing radiation in the NCI 60 ACDS. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:8, pp:1542-1549 [Journal]
  20. Ranadip Pal, Ivan Ivanov, Aniruddha Datta, Michael L. Bittner, Edward R. Dougherty
    Generating Boolean networks with a prescribed attractor structure. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:21, pp:4021-4025 [Journal]
  21. Ilya Shmulevich, Edward R. Dougherty, Seungchan Kim, Wei Zhang
    Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2002, v:18, n:2, pp:261-274 [Journal]
  22. Ilya Shmulevich, Edward R. Dougherty, Wei Zhang
    ayesian automatic relevance determination algorithms for classifying gene expression data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2002, v:18, n:10, pp:1332-1339 [Journal]
  23. Chao Sima, Ulisses Braga-Neto, Edward R. Dougherty
    Superior feature-set ranking for small samples using bolstered error estimation. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:7, pp:1046-1054 [Journal]
  24. Wentao Zhao, Erchin Serpedin, Edward R. Dougherty
    Inferring gene regulatory networks from time series data using the minimum description length principle. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:17, pp:2129-2135 [Journal]
  25. Xiaobo Zhou, Xiaodong Wang, Edward R. Dougherty
    Missing-value estimation using linear and non-linear regression with Bayesian gene selection. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:17, pp:2302-2307 [Journal]
  26. Xiaobo Zhou, Xiaodong Wang, Ranadip Pal, Ivan Ivanov, Michael L. Bittner, Edward R. Dougherty
    A Bayesian connectivity-based approach to constructing probabilistic gene regulatory networks. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:17, pp:2918-2927 [Journal]
  27. Chao Sima, Edward R. Dougherty
    What should be expected from feature selection in small-sample settings. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:19, pp:2430-2436 [Journal]
  28. Jianping Hua, David W. Craig, Marcel Brun, Jennifer Webster, Victoria Zismann, Waibhav Tembe, Keta Joshipura, Matthew J. Huentelman, Edward R. Dougherty, Dietrich A. Stephan
    SNiPer-HD: improved genotype calling accuracy by an expectation-maximization algorithm for high-density SNP arrays. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2007, v:23, n:1, pp:57-63 [Journal]
  29. John C. Handley, Edward R. Dougherty
    Maximum-Likelihood Estimation for the Two-Dimensional Discrete Boolean Random Set and Function Models Using Multidimensional Linear Samples. [Citation Graph (0, 0)][DBLP]
    CVGIP: Graphical Model and Image Processing, 1997, v:59, n:4, pp:221-231 [Journal]
  30. Huan Liu, Edward R. Dougherty, Jennifer G. Dy, Kari Torkkola, Eugene Tuv, Hanchuan Peng, Chris H. Q. Ding, Fuhui Long, Michael E. Berens, Lance Parsons, Zheng Zhao, Lei Yu, George Forman
    Evolving Feature Selection. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 2005, v:20, n:6, pp:64-76 [Journal]
  31. Edward R. Dougherty, Robert P. Loce
    Robust Morphologically Continuous Fourier Descriptors I: Projection-Generated Descriptors. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1992, v:6, n:5, pp:873-892 [Journal]
  32. Edward R. Dougherty, Robert P. Loce
    Robust Morphologically Continuous Fourier Descriptors II: Continuity and Occlusion Analysis. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1992, v:6, n:5, pp:893-911 [Journal]
  33. J. McKenzie, Stephen Marshall, Alison J. Gray, Edward R. Dougherty
    Morphological Texture Analysis Using the Texture Evolution Function. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2003, v:17, n:2, pp:167-186 [Journal]
  34. Edward R. Dougherty, Junior Barrera, Marcel Brun, Seungchan Kim, Roberto Marcondes Cesar Junior, Yidong Chen, Michael L. Bittner, Jeffrey M. Trent
    Inference from Clustering with Application to Gene-Expression Microarrays. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2002, v:9, n:1, pp:105-126 [Journal]
  35. Seungchan Kim, Edward R. Dougherty, Junior Barrera, Yidong Chen, Michael L. Bittner, Jeffrey M. Trent
    Strong Feature Sets from Small Samples. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2002, v:9, n:1, pp:127-146 [Journal]
  36. Xiaobo Zhou, Xiaodong Wang, Edward R. Dougherty, Daniel Russ, Edward Suh
    Gene Clustering Based on Clusterwide Mutual Information. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2004, v:11, n:1, pp:147-161 [Journal]
  37. Edward R. Dougherty
    Optimal Conjunctive Granulometric Bandpass Filters. [Citation Graph (0, 0)][DBLP]
    Journal of Mathematical Imaging and Vision, 2001, v:14, n:1, pp:39-51 [Journal]
  38. Edward R. Dougherty, Junior Barrera, Gerard Mozelle, Seungchan Kim, Marcel Brun
    Multiresolution Analysis for Optimal Binary Filters. [Citation Graph (0, 0)][DBLP]
    Journal of Mathematical Imaging and Vision, 2001, v:14, n:1, pp:53-72 [Journal]
  39. Aniruddha Datta, Ashish Choudhary, Michael L. Bittner, Edward R. Dougherty
    External Control in Markovian Genetic Regulatory Networks. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2003, v:52, n:1-2, pp:169-191 [Journal]
  40. Tailen Hsing, Sanju Attoor, Edward R. Dougherty
    Relation Between Permutation-Test P Values and Classifier Error Estimates. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2003, v:52, n:1-2, pp:11-30 [Journal]
  41. Sanju Attoor, Edward R. Dougherty
    Classifier performance as a function of distributional complexity. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:8, pp:1641-1651 [Journal]
  42. Yoganand Balagurunathan, Edward R. Dougherty
    Optimal linear granulometric estimation for random sets. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2002, v:35, n:6, pp:1315-1325 [Journal]
  43. Sinan Batman, Edward R. Dougherty
    Morphological granulometric estimation of random patterns in the context of parameterized random sets. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2001, v:34, n:6, pp:1207-1217 [Journal]
  44. Sinan Batman, Edward R. Dougherty, Francis Sand
    Heterogeneous morphological granulometries. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2000, v:33, n:6, pp:1047-1057 [Journal]
  45. Ulisses Braga-Neto, Edward R. Dougherty
    Bolstered error estimation. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:6, pp:1267-1281 [Journal]
  46. Ulisses Braga-Neto, Edward R. Dougherty
    Exact performance of error estimators for discrete classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:11, pp:1799-1814 [Journal]
  47. Edward R. Dougherty
    The fundamental role of pattern recognition for gene-expression/microarray data in bioinformatics. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:12, pp:2226-2228 [Journal]
  48. Edward R. Dougherty, Marcel Brun
    A probabilistic theory of clustering. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:5, pp:917-925 [Journal]
  49. Edward R. Dougherty, Yingchong Cheng
    Morphological pattern-spectrum classification of noisy shapes: Exterior granulometries. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1995, v:28, n:1, pp:81-98 [Journal]
  50. Edward R. Dougherty, Yidong Chen, Amir Waks
    Bayesian morphological peak estimation and its application to chromosome counting via fluorescence In situ hybridization. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1996, v:29, n:6, pp:987-996 [Journal]
  51. Edward R. Dougherty, Jianping Hua, Zixiang Xiong, Yidong Chen
    Optimal robust classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:10, pp:1520-1532 [Journal]
  52. Edward R. Dougherty, John T. Newell, Jeff B. Pelz
    Morphological texture-based maximum-likelihood pixel classification based on local granulometric moments. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1992, v:25, n:10, pp:1181-1198 [Journal]
  53. John C. Handley, Edward R. Dougherty
    Maximum-likelihood estimation and optimal filtering in the nondirectional, one-dimensional binomial germ-grain model. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1999, v:32, n:9, pp:1529-1541 [Journal]
  54. Nina S. T. Hirata, Edward R. Dougherty, Junior Barrera
    A switching algorithm for design of optimal increasing binary filters over large windows. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2000, v:33, n:6, pp:1059-1081 [Journal]
  55. Tailen Hsing, Li-yu Liu, Marcel Brun, Edward R. Dougherty
    The coefficient of intrinsic dependence (feature selection using el CID). [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:5, pp:623-636 [Journal]
  56. Jianping Hua, Zixiang Xiong, Edward R. Dougherty
    Determination of the optimal number of features for quadratic discriminant analysis via the normal approximation to the discriminant distribution. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:3, pp:403-421 [Journal]
  57. Francis Sand, Edward R. Dougherty
    Asymptotic granulometric mixing theorem: Morphological estimation of sizing parameters and mixture proportions. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1998, v:31, n:1, pp:53-61 [Journal]
  58. Francis Sand, Edward R. Dougherty
    Robustness of granulometric moments. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1999, v:32, n:9, pp:1657-1665 [Journal]
  59. Chao Sima, Sanju Attoor, Ulisses Braga-Neto, James Lowey, Edward Suh, Edward R. Dougherty
    Impact of error estimation on feature selection. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:12, pp:2472-2482 [Journal]
  60. Chao Sima, Edward R. Dougherty
    Optimal convex error estimators for classification. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:9, pp:1763-1780 [Journal]
  61. Nipon Theera-Umpon, Edward R. Dougherty, Paul D. Gader
    Non-homothetic granulometric mixing theory with application to blood cell counting. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2001, v:34, n:12, pp:2547-2560 [Journal]
  62. Marcel Brun, Chao Sima, Jianping Hua, James Lowey, Brent Carroll, Edward Suh, Edward R. Dougherty
    Model-based evaluation of clustering validation measures. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:3, pp:807-824 [Journal]
  63. Yoganand Balagurunathan, Edward R. Dougherty
    Granulometric parametric estimation for the random Boolean model using optimal linear filters and optimal structuring elements. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2003, v:24, n:1-3, pp:283-293 [Journal]
  64. Marcel Brun, Edward R. Dougherty, Roberto Hirata Jr., Junior Barrera
    Design of optimal binary filters under joint multiresolution-envelope constraint. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2003, v:24, n:7, pp:937-945 [Journal]
  65. Edward R. Dougherty
    Minimal representation of -openings via pattern bases. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1994, v:15, n:10, pp:1029-1033 [Journal]
  66. Paulo J. S. Silva, Ronaldo Fumio Hashimoto, Seungchan Kim, Junior Barrera, Leônidas O. Brandão, Edward Suh, Edward R. Dougherty
    Feature selection algorithms to find strong genes. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:10, pp:1444-1453 [Journal]
  67. Krishnamoorthy Sivakumar, Yoganand Balagurunathan, Edward R. Dougherty
    Asymptotic joint normality of the granulometric moments. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2001, v:22, n:14, pp:1537-1543 [Journal]
  68. Edward R. Dougherty, Divyendu Sinha
    Computational Gray-scale Mathematical Morphology on Lattices (A Comparator-based Image Algebra) Part 1: Architecture. [Citation Graph (0, 0)][DBLP]
    Real-Time Imaging, 1995, v:1, n:1, pp:69-85 [Journal]
  69. Edward R. Dougherty, Divyendu Sinha
    Computational Gray-scale Mathematical Morphology on Lattices (A Comparator-based Image Algebra) Part II: Image Operators. [Citation Graph (0, 0)][DBLP]
    Real-Time Imaging, 1995, v:1, n:4, pp:283-295 [Journal]
  70. Artyom M. Grigoryan, Galen Hostetter, Olli-P. Kallioniemi, Edward R. Dougherty
    Simulation Toolbox for 3D-FISH Spot-Counting Algorithms. [Citation Graph (0, 0)][DBLP]
    Real-Time Imaging, 2002, v:8, n:3, pp:203-212 [Journal]
  71. Robert P. Loce, Edward R. Dougherty, Ronald Jodoin, Michael S. Cianciosi
    Logically Efficient Spatial Resolution Conversion Using Paired Increasing Operators. [Citation Graph (0, 0)][DBLP]
    Real-Time Imaging, 1997, v:3, n:1, pp:7-16 [Journal]
  72. Krishnamoorthy Sivakumar, M. J. Patel, Nasser D. Kehtarnavaz, Yoganand Balagurunathan, Edward R. Dougherty
    A Constant-time Algorithm for Erosions/Dilations with Applications to Morphological Texture Feature Computation. [Citation Graph (0, 0)][DBLP]
    Real-Time Imaging, 2000, v:6, n:3, pp:223-239 [Journal]
  73. Artyom M. Grigoryan, Edward R. Dougherty
    Bayesian robust optimal linear filters. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2001, v:81, n:12, pp:2503-2521 [Journal]
  74. Edward R. Dougherty, Yidong Chen
    Robust optimal granulometric bandpass filters. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2001, v:81, n:7, pp:1357-1372 [Journal]
  75. Ronaldo Fumio Hashimoto, Edward R. Dougherty, Marcel Brun, Zheng-Zheng Zhou, Michael L. Bittner, Jeffrey M. Trent
    Efficient selection of feature sets possessing high coefficients of determination based on incremental determinations. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2003, v:83, n:4, pp:695-712 [Journal]
  76. Edward R. Dougherty, Ilya Shmulevich
    Mappings between probabilistic Boolean networks. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2003, v:83, n:4, pp:799-809 [Journal]
  77. Xiaobo Zhou, Xiaodong Wang, Edward R. Dougherty
    Construction of genomic networks using mutual-information clustering and reversible-jump Markov-chain-Monte-Carlo predictor design. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2003, v:83, n:4, pp:745-761 [Journal]
  78. Alan C. Green, Stephen Marshall, David Greenhalgh, Edward R. Dougherty
    Design of multi-mask aperture filters. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2003, v:83, n:9, pp:1961-1971 [Journal]
  79. Jaakko Astola, Edward R. Dougherty, Ilya Shmulevich, Ioan Tabus
    Genomic signal processing. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2003, v:83, n:4, pp:691-694 [Journal]
  80. Marcel Brun, Edward R. Dougherty, Ilya Shmulevich
    Steady-state probabilities for attractors in probabilistic Boolean networks. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2005, v:85, n:10, pp:1993-2013 [Journal]
  81. Junior Barrera, Edward R. Dougherty, Marcel Brun
    Hybrid human-machine binary morphological operator design. An independent constraint approach. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2000, v:80, n:8, pp:1469-1487 [Journal]
  82. Roberto Hirata Jr., Edward R. Dougherty, Junior Barrera
    Aperture filters. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2000, v:80, n:4, pp:697-721 [Journal]
  83. Edward R. Dougherty, Seungchan Kim, Yidong Chen
    Coefficient of determination in nonlinear signal processing. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2000, v:80, n:10, pp:2219-2235 [Journal]
  84. Yufei Xiao, Edward R. Dougherty
    The impact of function perturbations in Boolean networks. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2007, v:23, n:10, pp:1265-1273 [Journal]

  85. Inference of Gene Regulatory Networks using S-System: A Unified Approach. [Citation Graph (, )][DBLP]


  86. Steady-state analysis of genetic regulatory networks modeled by nonlinear ordinary differential equations. [Citation Graph (, )][DBLP]


  87. Identifying drosophila cell-cycle regulated genes from irregular microarray data. [Citation Graph (, )][DBLP]


  88. Reconstruction of Genetic Regulatory Networks Based on the Posterior Probabilities of Gene Regulations. [Citation Graph (, )][DBLP]


  89. Classification with reject option in gene expression data. [Citation Graph (, )][DBLP]


  90. Adaptive intervention in probabilistic boolean networks. [Citation Graph (, )][DBLP]


  91. Reporting bias when using real data sets to analyze classification performance. [Citation Graph (, )][DBLP]


  92. Small-sample precision of ROC-related estimates. [Citation Graph (, )][DBLP]


  93. A CoD-based reduction algorithm for designing stationary control policies on Boolean networks. [Citation Graph (, )][DBLP]


  94. Noise-injected neural networks show promise for use on small-sample expression data. [Citation Graph (, )][DBLP]


  95. Analysis and modeling of time-course gene-expression profiles from nanomaterial-exposed primary human epidermal keratinocytes. [Citation Graph (, )][DBLP]


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