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Items: 1 to 20 of 77

1.

Fast R Functions for Robust Correlations and Hierarchical Clustering.

Langfelder P, Horvath S.

J Stat Softw. 2012 Mar;46(11). pii: i11.

2.

Optimising parallel R correlation matrix calculations on gene expression data using MapReduce.

Wang S, Pandis I, Johnson D, Emam I, Guitton F, Oehmichen A, Guo Y.

BMC Bioinformatics. 2014 Nov 5;15:351. doi: 10.1186/s12859-014-0351-9.

3.

K-ary clustering with optimal leaf ordering for gene expression data.

Bar-Joseph Z, Demaine ED, Gifford DK, Srebro N, Hamel AM, Jaakkola TS.

Bioinformatics. 2003 Jun 12;19(9):1070-8.

PMID:
12801867
4.

WGCNA: an R package for weighted correlation network analysis.

Langfelder P, Horvath S.

BMC Bioinformatics. 2008 Dec 29;9:559. doi: 10.1186/1471-2105-9-559.

5.

Misty Mountain clustering: application to fast unsupervised flow cytometry gating.

Sugár IP, Sealfon SC.

BMC Bioinformatics. 2010 Oct 9;11:502. doi: 10.1186/1471-2105-11-502.

6.

Fast approximate hierarchical clustering using similarity heuristics.

Kull M, Vilo J.

BioData Min. 2008 Sep 22;1(1):9. doi: 10.1186/1756-0381-1-9.

7.

Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering.

Freyhult E, Landfors M, Önskog J, Hvidsten TR, Rydén P.

BMC Bioinformatics. 2010 Oct 11;11:503. doi: 10.1186/1471-2105-11-503.

8.

Gene differential coexpression analysis based on biweight correlation and maximum clique.

Zheng CH, Yuan L, Sha W, Sun ZL.

BMC Bioinformatics. 2014;15 Suppl 15:S3. doi: 10.1186/1471-2105-15-S15-S3. Epub 2014 Dec 3.

9.

Genome-scale cluster analysis of replicated microarrays using shrinkage correlation coefficient.

Yao J, Chang C, Salmi ML, Hung YS, Loraine A, Roux SJ.

BMC Bioinformatics. 2008 Jun 18;9:288. doi: 10.1186/1471-2105-9-288.

10.

Metric for measuring the effectiveness of clustering of DNA microarray expression.

Loganantharaj R, Cheepala S, Clifford J.

BMC Bioinformatics. 2006 Sep 6;7 Suppl 2:S5.

11.

Blocked inverted indices for exact clustering of large chemical spaces.

Thiel P, Sach-Peltason L, Ottmann C, Kohlbacher O.

J Chem Inf Model. 2014 Sep 22;54(9):2395-401. doi: 10.1021/ci500150t. Epub 2014 Sep 2.

PMID:
25136755
12.

Model-based clustering for RNA-seq data.

Si Y, Liu P, Li P, Brutnell TP.

Bioinformatics. 2014 Jan 15;30(2):197-205. doi: 10.1093/bioinformatics/btt632. Epub 2013 Nov 4.

PMID:
24191069
13.

Diluvian Clustering: A Fast, Effective Algorithm for Clustering Compositional and Other Data.

Ritchie NW.

Microsc Microanal. 2015 Oct;21(5):1173-83. doi: 10.1017/S1431927615014701. Epub 2015 Aug 24.

PMID:
26299780
14.

Mesh-free hierarchical clustering methods for fast evaluation of electrostatic interactions of point multipoles.

Boateng HA.

J Chem Phys. 2017 Oct 28;147(16):164104. doi: 10.1063/1.4990552.

PMID:
29096477
15.

ppcor: An R Package for a Fast Calculation to Semi-partial Correlation Coefficients.

Kim S.

Commun Stat Appl Methods. 2015 Nov;22(6):665-674. Epub 2015 Nov 30.

16.

GPU-Based Multilevel Clustering.

Chiosa I, Kolb A.

IEEE Trans Vis Comput Graph. 2011 Feb;17(2):132-145. Epub 2010 Apr 22.

PMID:
20421676
17.

Fast algorithm for population-based protein structural model analysis.

Zhang J, Xu D.

Proteomics. 2013 Jan;13(2):221-9. doi: 10.1002/pmic.201200334. Epub 2013 Jan 3.

19.

R/parallel--speeding up bioinformatics analysis with R.

Vera G, Jansen RC, Suppi RL.

BMC Bioinformatics. 2008 Sep 22;9:390. doi: 10.1186/1471-2105-9-390.

20.

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