Literature DB >> 9510984

CODE: a deconvolution program implementing a regularization method of deconvolution constrained to non-negative values. Description and pilot evaluation.

R Hovorka1, M J Chappell, K R Godfrey, F N Madden, M K Rouse, P A Soons.   

Abstract

A regularization method of deconvolution constrained to non-negative values is described. The method gives smooth estimates of the input function whilst providing a feasible fit (in terms of least squares) to measurements. A description of the program CODE (constrained deconvolution) which implements the method is given. A new methodology for a pilot evaluation of deconvolution programs is also proposed. The methodology is based on synthetic data. It employs a variety of shapes of the input function, low (1%) and high (15%) values of the measurement error, and incorporates primary (accuracy) and secondary (bias) performance measures. The performance of CODE is evaluated and it is suggested that CODE provides estimates of the input function with acceptable accuracy.

Mesh:

Year:  1998        PMID: 9510984     DOI: 10.1002/(sici)1099-081x(199801)19:1<39::aid-bdd73>3.0.co;2-m

Source DB:  PubMed          Journal:  Biopharm Drug Dispos        ISSN: 0142-2782            Impact factor:   1.627


  6 in total

1.  An extended point-area deconvolution approach for assessing drug input rates.

Authors:  K C Yeh; D J Holder; G A Winchell; L A Wenning; T Prueksaritanont
Journal:  Pharm Res       Date:  2001-10       Impact factor: 4.200

2.  SPLINDID: a semi-parametric, model-based method for obtaining transcription rates and gene regulation parameters from genomic and proteomic expression profiles.

Authors:  Kavitha Bhasi; Alan Forrest; Murali Ramanathan
Journal:  Bioinformatics       Date:  2005-08-11       Impact factor: 6.937

3.  A comparison of six deconvolution techniques.

Authors:  F N Madden; K R Godfrey; M J Chappell; R Hovorka; R A Bates
Journal:  J Pharmacokinet Biopharm       Date:  1996-06

4.  Comparison of Alternative Population Modeling Approaches for Implementing a Level A IVIVC and for Assessing the Time-Scaling Factor Using Deconvolution and Convolution-Based Methods.

Authors:  Roberto Gomeni; Françoise Bressolle-Gomeni
Journal:  AAPS J       Date:  2020-04-15       Impact factor: 4.009

5.  Screening of Bioequivalent Extended-Release Formulations for Metformin by Principal Component Analysis and Convolution-Based IVIVC Approach.

Authors:  Yufeng Zhang; Hua Liu; Minghui Johnson Tang; Nicolas James Ho; Tsun Lam Shek; Zhijun Yang; Zhong Zuo
Journal:  AAPS J       Date:  2021-03-04       Impact factor: 4.009

6.  The use of a physiologically based pharmacokinetic model to evaluate deconvolution measurements of systemic absorption.

Authors:  David G Levitt
Journal:  BMC Clin Pharmacol       Date:  2003-03-19
  6 in total

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