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Similar articles for PubMed (Select 22102768)

1.

A Simple Distribution-Free Algorithm for Generating Simulated High-Dimensional Correlated Data with an Autoregressive Structure.

Azuero A, Redden DT, Tiwari HK, Asmellash SG, Piyathilake CJ.

Commun Stat Simul Comput. 2012 Jan 1;41(1):89-98.

2.

A simple significance test for quantile regression.

Redden DT, Fernández JR, Allison DB.

Stat Med. 2004 Aug 30;23(16):2587-97.

PMID:
15287086
3.

KERNEL-SMOOTHED CONDITIONAL QUANTILES OF CORRELATED BIVARIATE DISCRETE DATA.

De Gooijer JG, Yuan A.

Stat Sin. 2011 Oct 1;21(4):1611-1638.

4.
5.

Sensitivity analysis for high quantiles of ochratoxin A exposure distribution.

Albert I, Gauchi JP.

Int J Food Microbiol. 2002 May 5;75(1-2):143-55.

PMID:
11999111
6.

Efficient Moment Matrix Generation for Arbitrary Chemical Networks.

Smadbeck P, Kaznessis YN.

Chem Eng Sci. 2012 Dec 24;84:612-618.

7.

The rapid generation of mutation data matrices from protein sequences.

Jones DT, Taylor WR, Thornton JM.

Comput Appl Biosci. 1992 Jun;8(3):275-82.

PMID:
1633570
8.

Predicting the tolerated sequences for proteins and protein interfaces using RosettaBackrub flexible backbone design.

Smith CA, Kortemme T.

PLoS One. 2011;6(7):e20451. doi: 10.1371/journal.pone.0020451. Epub 2011 Jul 18.

10.

Canonical Measure of Correlation (CMC) and Canonical Measure of Distance (CMD) between sets of data Part 2. Variable reduction.

Consonni V, Ballabio D, Manganaro A, Mauri A, Todeschini R.

Anal Chim Acta. 2009 Aug 19;648(1):52-9. doi: 10.1016/j.aca.2009.06.035. Epub 2009 Jun 21.

PMID:
19616689
11.

MUSA: a parameter free algorithm for the identification of biologically significant motifs.

Mendes ND, Casimiro AC, Santos PM, Sá-Correia I, Oliveira AL, Freitas AT.

Bioinformatics. 2006 Dec 15;22(24):2996-3002. Epub 2006 Oct 26.

12.

Generation of long-range correlations in large systems as an optimization problem.

Hamzehpour H, Sahimi M.

Phys Rev E Stat Nonlin Soft Matter Phys. 2006 May;73(5 Pt 2):056121. Epub 2006 May 22.

PMID:
16803012
13.

Time-dependent ARMA modeling of genomic sequences.

Zielinski JS, Bouaynaya N, Schonfeld D, O'Neill W.

BMC Bioinformatics. 2008 Aug 12;9 Suppl 9:S14. doi: 10.1186/1471-2105-9-S9-S14.

14.

Iterative method for generating correlated binary sequences.

Usatenko OV, Melnik SS, Apostolov SS, Makarov NM, Krokhin AA.

Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Nov;90(5-1):053305. Epub 2014 Nov 6.

PMID:
25493902
15.

Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States.

Paciorek CJ, Liu Y; HEI Health Review Committee.

Res Rep Health Eff Inst. 2012 May;(167):5-83; discussion 85-91.

PMID:
22838153
16.
17.

Exact distribution of a pattern in a set of random sequences generated by a Markov source: applications to biological data.

Nuel G, Regad L, Martin J, Camproux AC.

Algorithms Mol Biol. 2010 Jan 26;5:15. doi: 10.1186/1748-7188-5-15.

18.

Analysis of high dimensional data using pre-defined set and subset information, with applications to genomic data.

Guo W, Yang M, Xing C, Peddada SD.

BMC Bioinformatics. 2012 Jul 24;13:177. doi: 10.1186/1471-2105-13-177.

19.

Three-dimensional magnetic resonance observation of cartilage repair tissue (MOCART) score assessed with an isotropic three-dimensional true fast imaging with steady-state precession sequence at 3.0 Tesla.

Welsch GH, Zak L, Mamisch TC, Resinger C, Marlovits S, Trattnig S.

Invest Radiol. 2009 Sep;44(9):603-12. doi: 10.1097/RLI.0b013e3181b5333c.

PMID:
19692843
20.
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