147 related articles for article (PubMed ID: 7922682)
1. MC-Fit: using Monte-Carlo methods to get accurate confidence limits on enzyme parameters.
Dardel F
Comput Appl Biosci; 1994 Jun; 10(3):273-5. PubMed ID: 7922682
[TBL] [Abstract][Full Text] [Related]
2. A Macintosh BASIC program for fitting linear additive models to data by weighted least squares methods, with automatic elimination of redundant parameters from the model.
Tyson H
Comput Methods Programs Biomed; 1993 Apr; 39(3-4):311-22. PubMed ID: 8334884
[TBL] [Abstract][Full Text] [Related]
3. XECT--a least squares curve fitting program for generalized radiotracer clearance model.
Szczesny S; Turczyński B
Comput Biol Med; 1991; 21(5):295-301. PubMed ID: 1769223
[TBL] [Abstract][Full Text] [Related]
4. The least-squares analysis of data from binding and enzyme kinetics studies weights, bias, and confidence intervals in usual and unusual situations.
Tellinghuisen J
Methods Enzymol; 2009; 467():499-529. PubMed ID: 19897105
[TBL] [Abstract][Full Text] [Related]
5. A microcomputer program for fitting enzyme inhibition rate equations.
Oestreicher EG; Pinto GF
Comput Biol Med; 1987; 17(1):53-67. PubMed ID: 3816165
[TBL] [Abstract][Full Text] [Related]
6. COSIFIT: an interactive program for simultaneous multioscillator cosinor analysis of time-series data.
Teicher MH; Barber NI
Comput Biomed Res; 1990 Jun; 23(3):283-95. PubMed ID: 2350963
[TBL] [Abstract][Full Text] [Related]
7. A microcomputer method for designing optimal experiments for estimating enzyme kinetic parameters.
Canela EI
Int J Biomed Comput; 1985 May; 16(3-4):257-66. PubMed ID: 3839211
[TBL] [Abstract][Full Text] [Related]
8. Parameter estimation by least-squares methods.
Johnson ML; Faunt LM
Methods Enzymol; 1992; 210():1-37. PubMed ID: 1584035
[No Abstract] [Full Text] [Related]
9. A method for conforming the pH dependence of the michaelis parameters of nonallosteric enzymes to four kinetic schemes.
Vega-Catalan FJ
Comput Biomed Res; 1990 Oct; 23(5):447-54. PubMed ID: 2225789
[TBL] [Abstract][Full Text] [Related]
10. CANEST: a microcomputer program for estimating cancer in a cohort.
Sigurgeirsson B
Comput Methods Programs Biomed; 1991 Jul; 35(3):193-201. PubMed ID: 1935012
[TBL] [Abstract][Full Text] [Related]
11. Identification and rejection of outliers in enzyme kinetics.
Lopez-Cabrera A; Cabré F; Franco R; Canela EI
Int J Biomed Comput; 1988 Oct; 23(1-2):9-20. PubMed ID: 3220600
[TBL] [Abstract][Full Text] [Related]
12. A BASIC program for the estimation of Michaelis-Menten parameters by the direct linear plot.
Brady JF; Ishizaki H
Comput Methods Programs Biomed; 1989 Apr; 28(4):271-2. PubMed ID: 2702819
[TBL] [Abstract][Full Text] [Related]
13. A microcomputer program for fitting two-substrate enzyme rate equations.
Pinto GF; Oestreicher EG
Comput Biol Med; 1988; 18(2):135-44. PubMed ID: 3356145
[TBL] [Abstract][Full Text] [Related]
14. LOWRY--a simple BASIC program for the analysis of protein assays over a wide range of concentrations.
Grant KI
Comput Methods Programs Biomed; 1990; 31(3-4):237-42. PubMed ID: 2364689
[TBL] [Abstract][Full Text] [Related]
15. Monte Carlo generation of SB and SU distributions.
Reed JF; Stark DB
Comput Methods Programs Biomed; 1995 Jul; 47(2):157-65. PubMed ID: 7587162
[TBL] [Abstract][Full Text] [Related]
16. Parametric and nonparametric population methods: their comparative performance in analysing a clinical dataset and two Monte Carlo simulation studies.
Bustad A; Terziivanov D; Leary R; Port R; Schumitzky A; Jelliffe R
Clin Pharmacokinet; 2006; 45(4):365-83. PubMed ID: 16584284
[TBL] [Abstract][Full Text] [Related]
17. Pocket computer program for fitting the Michaelis-Menten equation.
Oestreicher EG; Pinto GF
Comput Biol Med; 1983; 13(4):309-15. PubMed ID: 6689285
[TBL] [Abstract][Full Text] [Related]
18. Monte Carlo simulation of parameter confidence intervals for non-linear regression analysis of biological data using Microsoft Excel.
Lambert RJ; Mytilinaios I; Maitland L; Brown AM
Comput Methods Programs Biomed; 2012 Aug; 107(2):155-63. PubMed ID: 21764476
[TBL] [Abstract][Full Text] [Related]
19. PC program for assessing the effect of a treatment when subjects are growing: the randomized parallel groups design.
Kowalski CJ; Schneiderman ED; Willis SM
Int J Biomed Comput; 1994 Oct; 37(2):83-91. PubMed ID: 7705899
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
