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Items: 1 to 20 of 87

1.

"Big Data" in Laboratory Medicine.

Tolan NV, Parnas ML, Baudhuin LM, Cervinski MA, Chan AS, Holmes DT, Horowitz G, Klee EW, Kumar RB, Master SR.

Clin Chem. 2015 Dec;61(12):1433-40. doi: 10.1373/clinchem.2015.248591. Epub 2015 Oct 20. No abstract available.

2.

[Thinking big].

Stensrud MJ.

Tidsskr Nor Laegeforen. 2015 May 19;135(9):869-70. doi: 10.4045/tidsskr.15.0171. eCollection 2015 May 19. Norwegian. No abstract available.

3.

Computing Workflows for Biologists: A Roadmap.

Shade A, Teal TK.

PLoS Biol. 2015 Nov 24;13(11):e1002303. doi: 10.1371/journal.pbio.1002303. eCollection 2015.

4.

Big Data and Network Biology 2015.

Kanaya S, Altaf-Ul-Amin M, Kiboi SK, Afendi FM.

Biomed Res Int. 2015;2015:604623. doi: 10.1155/2015/604623. Epub 2015 Nov 1. No abstract available.

5.

Ontology engineering.

Alterovitz G, Xiang M, Hill DP, Lomax J, Liu J, Cherkassky M, Dreyfuss J, Mungall C, Harris MA, Dolan ME, Blake JA, Ramoni MF.

Nat Biotechnol. 2010 Feb;28(2):128-30. doi: 10.1038/nbt0210-128. No abstract available.

6.

Biology: The big challenges of big data.

Marx V.

Nature. 2013 Jun 13;498(7453):255-60. doi: 10.1038/498255a. No abstract available.

PMID:
23765498
7.

Big data in biomedicine: 4 big questions.

Bender E.

Nature. 2015 Nov 5;527(7576):S19. doi: 10.1038/527S19a. No abstract available.

PMID:
26536221
8.

Introducing the Big Knowledge to Use (BK2U) challenge.

Perl Y, Geller J, Halper M, Ochs C, Zheng L, Kapusnik-Uner J.

Ann N Y Acad Sci. 2017 Jan;1387(1):12-24. doi: 10.1111/nyas.13225. Epub 2016 Oct 17. Review.

9.

A computational approach to qualitative analysis in large textual datasets.

Evans MS.

PLoS One. 2014 Feb 3;9(2):e87908. doi: 10.1371/journal.pone.0087908. eCollection 2014.

10.

Toward knowledge support for analysis and interpretation of complex traits.

Collier N, Oellrich A, Groza T.

Genome Biol. 2013;14(9):214. Review.

11.

Text mining in livestock animal science: introducing the potential of text mining to animal sciences.

Sahadevan S, Hofmann-Apitius M, Schellander K, Tesfaye D, Fluck J, Friedrich CM.

J Anim Sci. 2012 Oct;90(10):3666-76. doi: 10.2527/jas.2011-4841. Epub 2012 Jun 4.

PMID:
22665627
12.

What you need to know to make the most of big data in biology.

Thornton J.

Lancet. 2015 Feb 26;385 Suppl 1:S5-6. doi: 10.1016/S0140-6736(15)60321-X. No abstract available.

PMID:
25726450
13.

[Laboratory information systems: use, possibilities, and recommendations].

Otstavnov GIu.

Klin Lab Diagn. 2006 Aug;(8):40-3. Review. Russian. No abstract available.

PMID:
17087249
14.

Big data in health: a new era for research and patient care.

Weil AR.

Health Aff (Millwood). 2014 Jul;33(7):1110. doi: 10.1377/hlthaff.2014.0689. No abstract available.

PMID:
25006134
15.

Necessity of Payment Reform May Mother Big Data Into Being .

Reinke T.

Manag Care. 2015 Jul;24(7):10-1. No abstract available.

16.

Biomedical hypothesis generation by text mining and gene prioritization.

Petric I, Ligeti B, Gyorffy B, Pongor S.

Protein Pept Lett. 2014;21(8):847-57.

PMID:
23855662
17.

Editorial: part 2: network construction and mining for systems biology.

Zhao XM.

IET Syst Biol. 2014 Jun;8(3):75. doi: 10.1049/iet-syb.2014.0014. No abstract available.

PMID:
25014373
18.

Results on mining NHANES data: a case study in evidence-based medicine.

Lee Jw, Giraud-Carrier C.

Comput Biol Med. 2013 Jun;43(5):493-503. doi: 10.1016/j.compbiomed.2013.02.018. Epub 2013 Mar 18.

PMID:
23566395
19.

Software simplified.

Silver A.

Nature. 2017 May 29;546(7656):173-174. doi: 10.1038/546173a. No abstract available.

PMID:
28569835
20.

CDMS (Clinical Data Mining Software): a cytokinome data mining system for a predictive medicine of chronic inflammatory diseases.

Evangelista D, Colonna G, Miele M, Cutugno F, Castello G, Desantis S, Costantini S.

Protein Eng Des Sel. 2010 Dec;23(12):899-902. doi: 10.1093/protein/gzq068. Epub 2010 Oct 1.

PMID:
20889532

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