Open AccessLocal statistics allow quantification of cell-to-cell variability from high-throughput microscope images
Author(s) -
LouisFrançois Handfield,
Bob Strome,
Yolanda Chong,
Alan M Moses
Publication year - 2014
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btu759
Subject(s) - cell , protein subcellular localization prediction , microscope , subcellular localization , microscopy , biology , computational biology , microbiology and biotechnology , cytoplasm , pathology , genetics , gene , medicine
Quantifying variability in protein expression is a major goal of systems biology and cell-to-cell variability in subcellular localization pattern has not been systematically quantified.
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