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Scalable biclustering - the future of big data exploration?

Orzechowski P, Boryczko K, Moore JH.

Gigascience. 2019 Jul 1;8(7). pii: giz078. doi: 10.1093/gigascience/giz078.


It is time to apply biclustering: a comprehensive review of biclustering applications in biological and biomedical data.

Xie J, Ma A, Fennell A, Ma Q, Zhao J.

Brief Bioinform. 2019 Jul 19;20(4):1449-1464. doi: 10.1093/bib/bby014.


Fast and accurate de novo genome assembly from long uncorrected reads.

Vaser R, Sović I, Nagarajan N, Šikić M.

Genome Res. 2017 May;27(5):737-746. doi: 10.1101/gr.214270.116. Epub 2017 Jan 18.


Analyzing large gene expression and methylation data profiles using StatBicRM: statistical biclustering-based rule mining.

Maulik U, Mallik S, Mukhopadhyay A, Bandyopadhyay S.

PLoS One. 2015 Apr 1;10(4):e0119448. doi: 10.1371/journal.pone.0119448. eCollection 2015.


MCaVoH: A toolkit for mining, classification and visualization of human microbiota.

Nisar M, Noureen N, Fazal S, Qadir MA.

J Microbiol Methods. 2015 Oct;117:28-35. doi: 10.1016/j.mimet.2015.07.015. Epub 2015 Jul 17.


Dynamic biclustering of microarray data by multi-objective immune optimization.

Liu J, Li Z, Hu X, Chen Y, Park EK.

BMC Genomics. 2011;12 Suppl 2:S11. doi: 10.1186/1471-2164-12-S2-S11. Epub 2011 Jul 27.


Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate visualization.

Cheng KO, Law NF, Siu WC, Liew AW.

BMC Bioinformatics. 2008 Apr 23;9:210. doi: 10.1186/1471-2105-9-210.


Modeling and interoperability of heterogeneous genomic big data for integrative processing and querying.

Masseroli M, Kaitoua A, Pinoli P, Ceri S.

Methods. 2016 Dec 1;111:3-11. doi: 10.1016/j.ymeth.2016.09.002. Epub 2016 Sep 13.


Gracob: a novel graph-based constant-column biclustering method for mining growth phenotype data.

Alzahrani M, Kuwahara H, Wang W, Gao X.

Bioinformatics. 2017 Aug 15;33(16):2523-2531. doi: 10.1093/bioinformatics/btx199.


Performance evaluation method for read mapping tool in clinical panel sequencing.

Lee H, Lee KW, Lee T, Park D, Chung J, Lee C, Park WY, Son DS.

Genes Genomics. 2018;40(2):189-197. doi: 10.1007/s13258-017-0621-9. Epub 2017 Nov 9.


Supercomputing for the parallelization of whole genome analysis.

Puckelwartz MJ, Pesce LL, Nelakuditi V, Dellefave-Castillo L, Golbus JR, Day SM, Cappola TP, Dorn GW 2nd, Foster IT, McNally EM.

Bioinformatics. 2014 Jun 1;30(11):1508-13. doi: 10.1093/bioinformatics/btu071. Epub 2014 Feb 12.


Application of biclustering algorithm in adverse drug reaction monitoring system of China.

Zhu T, Zhang Y, Ye X, Hou Y, Liu J, Shi W, Xu J, Guo X, He J.

Pharmacoepidemiol Drug Saf. 2018 Nov;27(11):1257-1264. doi: 10.1002/pds.4661. Epub 2018 Sep 19.


Biclustering as a method for RNA local multiple sequence alignment.

Wang S, Gutell RR, Miranker DP.

Bioinformatics. 2007 Dec 15;23(24):3289-96. Epub 2007 Oct 6.


Mining clinical big data for drug safety: Detecting inadequate treatment with a DNA sequence alignment algorithm.

Ledieu T, Bouzille G, Plaisant C, Thiessard F, Polard E, Cuggia M.

AMIA Annu Symp Proc. 2018 Dec 5;2018:1368-1376. eCollection 2018.


Discovering coherent biclusters from gene expression data using zero-suppressed binary decision diagrams.

Yoon S, Nardini C, Benini L, De Micheli G.

IEEE/ACM Trans Comput Biol Bioinform. 2005 Oct-Dec;2(4):339-54.


Bit-table based biclustering and frequent closed itemset mining in high-dimensional binary data.

Király A, Gyenesei A, Abonyi J.

ScientificWorldJournal. 2014 Jan 30;2014:870406. doi: 10.1155/2014/870406. eCollection 2014.


Using Big Data and Predictive Analytics to Determine Patient Risk in Oncology.

Parikh RB, Gdowski A, Patt DA, Hertler A, Mermel C, Bekelman JE.

Am Soc Clin Oncol Educ Book. 2019 Jan;39:e53-e58. doi: 10.1200/EDBK_238891. Epub 2019 May 17. Review.


Big Data Analytics in Medicine and Healthcare.

Ristevski B, Chen M.

J Integr Bioinform. 2018 May 10;15(3). pii: /j/jib.2018.15.issue-3/jib-2017-0030/jib-2017-0030.xml. doi: 10.1515/jib-2017-0030.


Bi-Force: large-scale bicluster editing and its application to gene expression data biclustering.

Sun P, Speicher NK, Röttger R, Guo J, Baumbach J.

Nucleic Acids Res. 2014 May;42(9):e78. doi: 10.1093/nar/gku201. Epub 2014 Mar 20.


Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches.

Alonso-Betanzos A, Bolón-Canedo V.

Adv Exp Med Biol. 2018;1065:607-626. doi: 10.1007/978-3-319-77932-4_37. Review.


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