TY - CHAP
T1 - Specific methodological approaches to selected contemporary issues in deconvolution analysis of pulsatile neuroendocrine data
AU - Veldhuis, Johannes D.
AU - Johnson, Michael L.
N1 - Funding Information:
We thank Patsy Craig for skillful preparation of the manuscript and Paula P. Azimi for the artwork. This work was supported in part by National Institutes of Health Grant RR 00847 to the Clinical Research Center of the University of Virginia, NICHD RCDA 1 KO4 HD00634 (J.D.V.), NIH Grants GM-35154 and RR-08119 (M.L.J.), the Baxter Healthcare Corporation, Roudlake, IL (J.D. V.), the Diabetes and Endocrinology Research Center Grant NIH DK-38942, the NIH-supported Clinfo Data Reduction Systems, the Pratt Foundation, the University of Virginia Academic Enhancement Fund, and the National Science Foundation Center for Biological Timing (NSF Grant DIR89-20162). This work was also supported in part by an NIH P-30 Reproduction Center (C. Desjardins, Director) #NIH P-30 HD-28934.
PY - 1995/1/1
Y1 - 1995/1/1
N2 - This chapter has been designed to address important technical queries that arise in the course of carrying out deconvolution analysis of neuroendocrine data. We have stated a variety of contemporary technical controversies, issues, and limitations and in some cases offered possible solutions. Solutions were rarely if ever singular, and rarely if ever absolutely definitive. Indeed, the evolving complexities of deconvolution analysis applied to in vivo neuroendocrine data raise many novel and interesting challenges, while beginning to answer only a few questions. Nonetheless, we believe that the systematic and explicit appraisal of technical hurdles is an essential first step toward methodological advances. Consequently, we hope that the foregoing technical essay will help to clarify, stimulate, and in some cases address contemporary issues and obstacles in the timely and progressive domain of deconvolution analysis of neuroendocrine data.
AB - This chapter has been designed to address important technical queries that arise in the course of carrying out deconvolution analysis of neuroendocrine data. We have stated a variety of contemporary technical controversies, issues, and limitations and in some cases offered possible solutions. Solutions were rarely if ever singular, and rarely if ever absolutely definitive. Indeed, the evolving complexities of deconvolution analysis applied to in vivo neuroendocrine data raise many novel and interesting challenges, while beginning to answer only a few questions. Nonetheless, we believe that the systematic and explicit appraisal of technical hurdles is an essential first step toward methodological advances. Consequently, we hope that the foregoing technical essay will help to clarify, stimulate, and in some cases address contemporary issues and obstacles in the timely and progressive domain of deconvolution analysis of neuroendocrine data.
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U2 - 10.1016/S1043-9471(06)80028-5
DO - 10.1016/S1043-9471(06)80028-5
M3 - Chapter
AN - SCOPUS:77957099053
T3 - Methods in Neurosciences
SP - 25
EP - 92
BT - Methods in Neurosciences
ER -