citation information (may 2003, from ISI web of knowledge)

20.  Kitano H
Innovation - A robustness-based approach to systems-oriented drug design 
NATURE REVIEWS DRUG DISCOVERY 6 (3): 202-210 MAR 2007

19. Brown RJC
The use of Zipf's law in the screening of analytical data: a step beyond Benford 
ANALYST 132 (4): 344-349 2007 

18.  Izsak F
Maximum likelihood estimation for constrained parameters of multinomial distributions - Application to Zipf-Mandelbrot models 
COMPUTATIONAL STATISTICS & DATA ANALYSIS 51 (3): 1575-1583 DEC 1 2006

17. Mamtani MR, Thakre TP, Kalkonde MY, et al.
A simple method to combine multiple molecular biomarkers for dichotomous diagnostic classification 
BMC BIOINFORMATICS 7: Art. No. 442 OCT 10 2006


16
       Batliwalla FM, Li W, Ritchlin CT, et al.
       Microarray analyses of peripheral blood cells identifies unique gene expression
       signature in psoriatic arthritis 
       MOLECULAR MEDICINE 11 (1-12): 21-29 JAN-DEC 2005 
15 
       Nacher JC, Ochiai T, Yamada T, et al.
       The role of log-normal dynamics in the evolution of biochemical pathways 
       BIOSYSTEMS 83 (1): 26-37 JAN 2006 

14
       Ochiai T, Nacher JC, Akutsu T
       A stochastic approach to multi-gene expression dynamics 
       PHYSICS LETTERS A 339 (1-2): 1-9 MAY 16 2005 

13 
       Li WT, Grosse I
       Comments on "Linguistic features in eukaryotic, genomes" 
       COMPLEXITY 9 (4): 10-11 MAR-APR 2004 
12 
       Manaris B, Romero J, Machado P, et al.
       Zipf's law, music classification, and aesthetics 
       COMPUTER MUSIC JOURNAL 29 (1): 55-69 SPR 2005 
11 
       Fukano T, Hamanishi Y, Gunji YP
       Event detection by forward- and backward-prediction, illustrating the analysis for
       behaviors of black larder beetle Dermestes haemorrhoidalis Kuster 
       BIOSYSTEMS 78 (1-3): 81-91 DEC 2004 

10.  Ochiai T, Nacher JC, Akutsu T
       A constructive approach to gene expression dynamics 
       PHYSICS LETTERS A 330 (5): 313-321 SEP 27 2004 

1. 
      Li WT, Sun FZ, Grosse I
      Extreme value distribution based gene selection criteria for discriminant microarray
      data analysis using logistic regression 
      JOURNAL OF COMPUTATIONAL BIOLOGY 11 (2-3): 215-226 2004 
    2. 
      Furlanello C, Serafini M, Merler S, et al.
      Control of selection bias in microarray data analysis 
      MINERVA BIOTECNOLOGICA 15 (4): 217-222 DEC 2003 
    3. 
      Seymour JR, Mitchell JG, Seuront L
      Microscale heterogeneity in the activity of coastal bacterioplankton communities 
      AQUATIC MICROBIAL ECOLOGY 35 (1): 1-16 APR 1 2004 
    4. 
      Nabeshima T, Gunji YP
      Zipf's law in phonograms and Weibull distribution in ideograms: comparison of English
      with Japanese 
      BIOSYSTEMS 73 (2): 131-139 FEB 2004 
    5. 
      Frappat L, Minichini C, Sciarrino A, et al.
      Universality and Shannon entropy of codon usage 
      PHYSICAL REVIEW E 68 (6): Art. No. 061910 Part 1 DEC 2003 
    6. 
      Furlanello C, Serafini M, Merler S, et al.
      Entropy-based gene ranking without selection bias for the predictive classification of
      microarray data 
      BMC BIOINFORMATICS 4: Art. No. 54 NOV 6 2003 
    7. 
      Steinhoff C, Muller T, Nuber UA, et al.
      Gaussian mixture density estimation applied to microarray data 
      LECTURE NOTES IN COMPUTER SCIENCE 2810: 418-429 2003 
    8. 
      Sanchez-Carbayo M, Socci ND, Lozano JJ, et al.
      Gene discovery in bladder cancer progression using cDNA microarrays 
      AMERICAN JOURNAL OF PATHOLOGY 163 (2): 505-516 AUG 2003 
    9. 
      Stolovitzky G
      Gene selection in microarray data: the elephant, the blind men and our algorithms 
      CURRENT OPINION IN STRUCTURAL BIOLOGY 13 (3): 370-376 JUN 2003