Literature DB >> 18368432

Biological uncertainty.

Joseph P Zbilut1, Alessandro Giuliani.   

Abstract

Heisenberg's uncertainty relation has inspired speculations in a variety of scientific fields. Most of these speculations have wandered significantly far from the original formulation; yet, they may have been useful for a critical examination of methodological issues. As molecular genetics and its complexities evolve amid a backdrop of technological innovation, new "uncertainties" may have emerged. We present some of these uncertainties not as impediments, but as challenges to be recognized and managed.

Mesh:

Year:  2008        PMID: 18368432     DOI: 10.1007/s12064-008-0026-z

Source DB:  PubMed          Journal:  Theory Biosci        ISSN: 1431-7613            Impact factor:   1.919


  12 in total

1.  Is there a biology of quantum information?

Authors:  K Matsuno; R C Paton
Journal:  Biosystems       Date:  2000-02       Impact factor: 1.973

2.  Genome wide oscillations in expression. Wavelet analysis of time series data from yeast expression arrays uncovers the dynamic architecture of phenotype.

Authors:  R R Klevecz; D B Murray
Journal:  Mol Biol Rep       Date:  2001       Impact factor: 2.316

3.  A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data.

Authors:  Min Zou; Suzanne D Conzen
Journal:  Bioinformatics       Date:  2004-08-12       Impact factor: 6.937

4.  Discovery of principles of nature from mathematical modeling of DNA microarray data.

Authors:  Orly Alter
Journal:  Proc Natl Acad Sci U S A       Date:  2006-10-23       Impact factor: 11.205

Review 5.  Proteins as networks: usefulness of graph theory in protein science.

Authors:  Arun Krishnan; Joseph P Zbilut; Masaru Tomita; Alessandro Giuliani
Journal:  Curr Protein Pept Sci       Date:  2008-02       Impact factor: 3.272

6.  Gene expression waves. Cell cycle independent collective dynamics in cultured cells.

Authors:  Masa Tsuchiya; Masa Tsuchyia; Sum T Wong; Zhen X Yeo; Alfredo Colosimo; Maria C Palumbo; Lorenzo Farina; Marco Crescenzi; Alessia Mazzola; Rodolfo Negri; Michele M Bianchi; Kumar Selvarajoo; Masaru Tomita; Alessandro Giuliani
Journal:  FEBS J       Date:  2007-04-26       Impact factor: 5.542

7.  Complexity in biology. Exceeding the limits of reductionism and determinism using complexity theory.

Authors:  Fulvio Mazzocchi
Journal:  EMBO Rep       Date:  2008-01       Impact factor: 8.807

8.  Network scaling invariants help to elucidate basic topological principles of proteins.

Authors:  Arun Krishnan; Alessandro Giuliani; Joseph P Zbilut; Masaru Tomita
Journal:  J Proteome Res       Date:  2007-09-12       Impact factor: 4.466

9.  Cancer classification and prediction using logistic regression with Bayesian gene selection.

Authors:  Xiaobo Zhou; Kuang-Yu Liu; Stephen T C Wong
Journal:  J Biomed Inform       Date:  2004-08       Impact factor: 6.317

10.  A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae).

Authors:  Olga G Troyanskaya; Kara Dolinski; Art B Owen; Russ B Altman; David Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-25       Impact factor: 12.779

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  1 in total

1.  Estimating computational limits on theoretical descriptions of biological cells.

Authors:  Roland R Netz; William A Eaton
Journal:  Proc Natl Acad Sci U S A       Date:  2021-02-09       Impact factor: 11.205

  1 in total

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