Justin B Kinney

Summary

Affiliation: Cold Spring Harbor Laboratory
Country: USA

Publications

  1. doi request reprint Parametric inference in the large data limit using maximally informative models
    Justin B Kinney
    Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, U S A
    Neural Comput 26:637-53. 2014
  2. pmc Using deep sequencing to characterize the biophysical mechanism of a transcriptional regulatory sequence
    Justin B Kinney
    Department of Physics, Princeton University, Princeton, NJ 08544, USA
    Proc Natl Acad Sci U S A 107:9158-63. 2010
  3. pmc Precise physical models of protein-DNA interaction from high-throughput data
    Justin B Kinney
    Physics Department and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
    Proc Natl Acad Sci U S A 104:501-6. 2007
  4. doi request reprint Equitability, mutual information, and the maximal information coefficient
    Justin B Kinney
    Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724
    Proc Natl Acad Sci U S A 111:3354-9. 2014

Collaborators

Detail Information

Publications4

  1. doi request reprint Parametric inference in the large data limit using maximally informative models
    Justin B Kinney
    Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, U S A
    Neural Comput 26:637-53. 2014
    ..The presence of diffeomorphic modes reflects a fundamental and nontrivial substructure within parameter space, one that is obscured by standard likelihood-based inference. ..
  2. pmc Using deep sequencing to characterize the biophysical mechanism of a transcriptional regulatory sequence
    Justin B Kinney
    Department of Physics, Princeton University, Princeton, NJ 08544, USA
    Proc Natl Acad Sci U S A 107:9158-63. 2010
    ..The principles of our method can also be applied to a wide range of other problems in molecular biology...
  3. pmc Precise physical models of protein-DNA interaction from high-throughput data
    Justin B Kinney
    Physics Department and Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
    Proc Natl Acad Sci U S A 104:501-6. 2007
    ..Results from in vivo and in vitro experiments also provide highly consistent characterizations of Abf1p, a result that contrasts with a previous analysis of the same data...
  4. doi request reprint Equitability, mutual information, and the maximal information coefficient
    Justin B Kinney
    Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724
    Proc Natl Acad Sci U S A 111:3354-9. 2014
    ..We conclude that estimating mutual information provides a natural (and often practical) way to equitably quantify statistical associations in large datasets. ..