@inbook{2fef5ef4d158471fa672fd59425cc456,
title = "Evolution of deconvolution analysis as a hormone pulse detection method",
abstract = "This chapter describes several deconvolution approaches that we have developed. These were specifically designed to interpret pulsatile hormone time series observations. Such endocrine data are unique in that there is a limited number of observations with a large amount of experimental uncertainty. These unique features preclude the use of most earlier deconvolution techniques that require large numbers of data points and negligible experimental uncertainties. The PULSE2 program is available for 80386-80387, or faster microprocessors, for IBM-compatible computers on written request from the authors.",
author = "Johnson, {Michael L.} and Veldhuis, {Johannes D.}",
note = "Funding Information: The authors acknowledge the support of the National Science Foundation Science and Technology Center for Biological Timing at the University of Virginia, the Diabetes Endocrinology Research Center at the University of Virginia (NIH DK-38942), the University of Maryland at Baltimore Center for Fluorescence Spectroscopy (NIH RR-08119; M.L.J.), National Institutes of Health Grant GM-35154 (M.L.J.), and RCDA1K04 HD00634 from National Institute of Child Health and Development, (NIH) (J.D.V.), and Baxter Healthcare Corp. (Round Lake, IL).",
year = "1995",
month = jan,
day = "1",
doi = "10.1016/S1043-9471(06)80027-3",
language = "English (US)",
series = "Methods in Neurosciences",
number = "C",
pages = "1--24",
booktitle = "Methods in Neurosciences",
edition = "C",
}