@article {19647,
	title = {A computational statistics approach for estimating the spatial range of morphogen gradients},
	journal = {Development},
	volume = {138},
	year = {2011},
	month = {2011/11/15/},
	pages = {4867 - 4874},
	abstract = {A crucial issue in studies of morphogen gradients relates to their range: the distance over which they can act as direct regulators of cell signaling, gene expression and cell differentiation. To address this, we present a straightforward statistical framework that can be used in multiple developmental systems. We illustrate the developed approach by providing a point estimate and confidence interval for the spatial range of the graded distribution of nuclear Dorsal, a transcription factor that controls the dorsoventral pattern of the Drosophila embryo.},
	keywords = {Computational Biology, Confidence interval, Dorsal gradient, Drosophila embryo, Morphogen gradient, Statistics},
	isbn = {0950-1991, 1477-9129},
	url = {http://dev.biologists.org/content/138/22/4867},
	author = {Kanodia, Jitendra S. and Kim, Yoosik and Tomer, Raju and Zia Khan and Chung, Kwanghun and Storey, John D. and Lu, Hang and Keller, Philipp J. and Shvartsman, Stanislav Y.}
}
