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BMC Bioinformatics|April 17, 2015
Aro: a machine learning approach to identifying single molecules and estimating classification error in fluorescence microscopy imagesAllison Chia-Yi Wu, Scott A RifkinDevelopmental Biology|May 12, 2015
MED GATA factors promote robust development of the C. elegans endodermMorris F Maduro, Gina Broitman-Maduro, Hailey Choi, et al.Methods in Molecular Biology (Clifton, N.J.)|November 9, 2011
Identifying fluorescently labeled single molecules in image stacks using machine learningScott A RifkinAdvances in Experimental Medicine and Biology|July 24, 2012
The genotype-phenotype maps of systems biology and quantitative genetics: distinct and complementaryChristian R Landry, Scott A RifkinMolecular Systems Biology|February 1, 2017
A living vector field reveals constraints on galactose network induction in yeastSarah R Stockwell, Scott A RifkinDevelopmental Biology|February 21, 2016
Mutagenesis of GATA motifs controlling the endoderm regulator elt-2 reveals distinct dominant and secondary cis-regulatory elementsLawrence Du, Sharon Tracy, Scott A RifkinTrends in Genetics : TIG|June 30, 2006
Natural selection on gene expressionYoav Gilad, Alicia Oshlack, Scott A RifkinNature Genetics|January 28, 2003
Evolution of gene expression in the Drosophila melanogaster subgroupScott A Rifkin, Junhyong Kim, Kevin P WhiteTrends in Genetics : TIG|July 4, 2008
Revealing the architecture of gene regulation: the promise of eQTL studiesYoav Gilad, Scott A Rifkin, Jonathan K PritchardPageof 4