@article{2311,
  keywords = {Animals, Drosophila, Drosophila Proteins, Gene Expression Regulation, Developmental, In Situ Hybridization, Fluorescence, Embryo, Nonmammalian, Genes, Developmental, Morphogenesis, Computational Biology, Computer Simulation, Tissue Distribution, Imaging, Three-Dimensional, Osmolar Concentration, Biostatistics, Cleavage Stage, Ovum},
  author = {Jitendra Kanodia and Yoosik Kim and Raju Tomer and Zia Khan and Kwanghun Chung and John Storey and Hang Lu and Philipp Keller and Stanislav Shvartsman},
  title = {A computational statistics approach for estimating the spatial range of morphogen gradients.},
  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>},
  year = {2011},
  journal = {Development},
  volume = {138},
  pages = {4867-74},
  month = {11/2011},
  language = {eng},
}