@article {49745,
	title = {A computational statistics approach for estimating the spatial range of morphogen gradients.},
	journal = {Development},
	volume = {138},
	year = {2011},
	month = {2011 Nov},
	pages = {4867-74},
	abstract = {<p>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.</p>},
	keywords = {Animals, Biostatistics, Cleavage Stage, Ovum, Computational Biology, Computer simulation, Drosophila, Drosophila Proteins, Embryo, Nonmammalian, Gene Expression Regulation, Developmental, Genes, Developmental, Imaging, Three-Dimensional, In Situ Hybridization, Fluorescence, Morphogenesis, Osmolar Concentration, Tissue Distribution},
	issn = {1477-9129},
	doi = {10.1242/dev.071571},
	author = {Kanodia, Jitendra S and Kim, Yoosik and Tomer, Raju and Khan, Zia and Chung, Kwanghun and Storey, John D and Lu, Hang and Keller, Philipp J and Shvartsman, Stanislav Y}
}
