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Research Article

Model-Based Deconvolution of Cell Cycle Time-Series Data Reveals Gene Expression Details at High Resolution

  • Dan Siegal-Gaskins equal contributor mail,

    equal contributor Contributed equally to this work with: Dan Siegal-Gaskins, Joshua N. Ash

    dsg@mbi.osu.edu

    Affiliations: Mathematical Biosciences Institute, Ohio State University, Columbus, Ohio, United States of America, Department of Plant Cellular and Molecular Biology, Ohio State University, Columbus, Ohio, United States of America, Plant Biotechnology Center, Ohio State University, Columbus, Ohio, United States of America

    X
  • Joshua N. Ash equal contributor,

    equal contributor Contributed equally to this work with: Dan Siegal-Gaskins, Joshua N. Ash

    Affiliation: Department of Electrical and Computer Engineering, Ohio State University, Columbus, Ohio, United States of America

    X
  • Sean Crosson

    Affiliations: Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, Illinois, United States of America, The Committee on Microbiology, University of Chicago, Chicago, Illinois, United States of America

    X
  • Published: August 14, 2009
  • DOI: 10.1371/journal.pcbi.1000460

Reader Comments (2)

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Publisher's Note: slanted line in function argument

Posted by dantimatter on 14 Aug 2009 at 18:54 GMT

Therefore, a probability density function (PDF) may be written to describe the distribution of these parameters in a population of cells at a given time t
http://ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000460#article1.body1.sec2.sec1.p4

In the references to the probability density function in this section, the slanted line ('/') should be understood as a vertical line ('|').

No competing interests declared.