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Items: 1 to 20 of 94

1.

Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics.

Wenskovitch J, Crandell I, Ramakrishnan N, House L, Leman S, North C.

IEEE Trans Vis Comput Graph. 2018 Jan;24(1):131-141. doi: 10.1109/TVCG.2017.2745258. Epub 2017 Aug 29.

PMID:
28866581
2.

Progressive Visual Analytics: User-Driven Visual Exploration of In-Progress Analytics.

Stolper CD, Perer A, Gotz D.

IEEE Trans Vis Comput Graph. 2014 Dec;20(12):1653-62. doi: 10.1109/TVCG.2014.2346574.

PMID:
26356879
3.
4.

Selection Bias Tracking and Detailed Subset Comparison for High-Dimensional Data.

Borland D, Wang W, Zhang J, Shrestha J, Gotz D.

IEEE Trans Vis Comput Graph. 2020 Jan;26(1):429-439. doi: 10.1109/TVCG.2019.2934209. Epub 2019 Aug 20.

PMID:
31442975
5.

Clustering gene expression data using a diffraction-inspired framework.

Dinger SC, Van Wyk MA, Carmona S, Rubin DM.

Biomed Eng Online. 2012 Nov 19;11:85. doi: 10.1186/1475-925X-11-85.

6.

2D-EM clustering approach for high-dimensional data through folding feature vectors.

Sharma A, Kamola PJ, Tsunoda T.

BMC Bioinformatics. 2017 Dec 28;18(Suppl 16):547. doi: 10.1186/s12859-017-1970-8.

7.

Projections as visual aids for classification system design.

Rauber PE, Falc√£o AX, Telea AC.

Inf Vis. 2018 Oct;17(4):282-305. doi: 10.1177/1473871617713337. Epub 2017 Jun 27.

8.

Exploring high dimensional data with Butterfly: a novel classification algorithm based on discrete dynamical systems.

Geraci J, Dharsee M, Nuin P, Haslehurst A, Koti M, Feilotter HE, Evans K.

Bioinformatics. 2014 Mar 1;30(5):712-8. doi: 10.1093/bioinformatics/btt602. Epub 2013 Oct 21.

PMID:
24149051
9.

Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis.

Sacha D, Zhang L, Sedlmair M, Lee JA, Peltonen J, Weiskopf D, North SC, Keim DA.

IEEE Trans Vis Comput Graph. 2017 Jan;23(1):241-250.

PMID:
27875141
10.

caBIG VISDA: modeling, visualization, and discovery for cluster analysis of genomic data.

Zhu Y, Li H, Miller DJ, Wang Z, Xuan J, Clarke R, Hoffman EP, Wang Y.

BMC Bioinformatics. 2008 Sep 18;9:383. doi: 10.1186/1471-2105-9-383.

11.

A network clustering algorithm for detection of protein families.

Xie J, Wang M, Dai D, Zhang H, Zhang W.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:6329-32. doi: 10.1109/EMBC.2012.6347441.

PMID:
23367376
12.

The Role of Teamwork in the Analysis of Big Data: A Study of Visual Analytics and Box Office Prediction.

Buchanan V, Lu Y, McNeese N, Steptoe M, Maciejewski R, Cooke N.

Big Data. 2017 Mar;5(1):53-66. doi: 10.1089/big.2016.0044. Epub 2017 Mar 10.

PMID:
28282239
13.

A formal concept analysis approach to consensus clustering of multi-experiment expression data.

Hristoskova A, Boeva V, Tsiporkova E.

BMC Bioinformatics. 2014 May 19;15:151. doi: 10.1186/1471-2105-15-151.

14.

Clustering approaches for visual knowledge exploration in molecular interaction networks.

Ostaszewski M, Kieffer E, Danoy G, Schneider R, Bouvry P.

BMC Bioinformatics. 2018 Aug 29;19(1):308. doi: 10.1186/s12859-018-2314-z.

15.

Mayday--integrative analytics for expression data.

Battke F, Symons S, Nieselt K.

BMC Bioinformatics. 2010 Mar 9;11:121. doi: 10.1186/1471-2105-11-121.

16.

Attribute clustering for grouping, selection, and classification of gene expression data.

Au WH, Chan KC, Wong AK, Wang Y.

IEEE/ACM Trans Comput Biol Bioinform. 2005 Apr-Jun;2(2):83-101. Erratum in: IEEE/ACM Trans Comput Biol Bioinform. 2007 Jan-Mar;4(1):157.

PMID:
17044174
17.

Parallel clustering algorithm for large-scale biological data sets.

Wang M, Zhang W, Ding W, Dai D, Zhang H, Xie H, Chen L, Guo Y, Xie J.

PLoS One. 2014 Apr 4;9(4):e91315. doi: 10.1371/journal.pone.0091315. eCollection 2014.

18.

CLUSS: clustering of protein sequences based on a new similarity measure.

Kelil A, Wang S, Brzezinski R, Fleury A.

BMC Bioinformatics. 2007 Aug 4;8:286.

19.

Towards semantically sensitive text clustering: a feature space modeling technology based on dimension extension.

Liu Y, Liu M, Wang X.

PLoS One. 2015 Mar 20;10(3):e0117390. doi: 10.1371/journal.pone.0117390. eCollection 2015.

20.

Designing Progressive and Interactive Analytics Processes for High-Dimensional Data Analysis.

Turkay C, Kaya E, Balcisoy S, Hauser H.

IEEE Trans Vis Comput Graph. 2017 Jan;23(1):131-140. Epub 2016 Aug 5.

PMID:
27514056

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