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Items: 16

1.

Diurnal variations of psychometric indicators in Twitter content.

Dzogang F, Lightman S, Cristianini N.

PLoS One. 2018 Jun 20;13(6):e0197002. doi: 10.1371/journal.pone.0197002. eCollection 2018.

2.

Circadian mood variations in Twitter content.

Dzogang F, Lightman S, Cristianini N.

Brain Neurosci Adv. 2017 Jan 1;1:2398212817744501. doi: 10.1177/2398212817744501. Epub 2017 Dec 1.

3.

Content analysis of 150 years of British periodicals.

Lansdall-Welfare T, Sudhahar S, Thompson J, Lewis J; FindMyPast Newspaper Team, Cristianini N.

Proc Natl Acad Sci U S A. 2017 Jan 24;114(4):E457-E465. doi: 10.1073/pnas.1606380114. Epub 2017 Jan 9.

4.

Discovering Periodic Patterns in Historical News.

Dzogang F, Lansdall-Welfare T; FindMyPast Newspaper Team, Cristianini N.

PLoS One. 2016 Nov 8;11(11):e0165736. doi: 10.1371/journal.pone.0165736. eCollection 2016.

5.

Women Are Seen More than Heard in Online Newspapers.

Jia S, Lansdall-Welfare T, Sudhahar S, Carter C, Cristianini N.

PLoS One. 2016 Feb 3;11(2):e0148434. doi: 10.1371/journal.pone.0148434. eCollection 2016.

6.

The structure of the EU mediasphere.

Flaounas I, Turchi M, Ali O, Fyson N, De Bie T, Mosdell N, Lewis J, Cristianini N.

PLoS One. 2010 Dec 8;5(12):e14243. doi: 10.1371/journal.pone.0014243.

7.

Are we there yet?

Cristianini N.

Neural Netw. 2010 May;23(4):466-70. doi: 10.1016/j.neunet.2010.01.006. Epub 2010 Feb 10.

PMID:
20211540
8.

The evolution of mammalian gene families.

Demuth JP, De Bie T, Stajich JE, Cristianini N, Hahn MW.

PLoS One. 2006 Dec 20;1:e85.

9.

CAFE: a computational tool for the study of gene family evolution.

De Bie T, Cristianini N, Demuth JP, Hahn MW.

Bioinformatics. 2006 May 15;22(10):1269-71. Epub 2006 Mar 16.

PMID:
16543274
10.

Estimating the tempo and mode of gene family evolution from comparative genomic data.

Hahn MW, De Bie T, Stajich JE, Nguyen C, Cristianini N.

Genome Res. 2005 Aug;15(8):1153-60.

11.

Comparison of vector space model methodologies to reconcile cross-species neuroanatomical concepts.

Srinivas PR, Wei SH, Cristianini N, Jones EG, Gorin FA.

Neuroinformatics. 2005;3(2):115-31.

PMID:
15988041
12.

Discovering transcriptional modules from motif, chip-chip and microarray data.

De Bie T, Monsieurs P, Engelen K, De Moor B, Cristianini N, Marchal K.

Pac Symp Biocomput. 2005:483-94.

13.

A statistical framework for genomic data fusion.

Lanckriet GR, De Bie T, Cristianini N, Jordan MI, Noble WS.

Bioinformatics. 2004 Nov 1;20(16):2626-35. Epub 2004 May 6.

PMID:
15130933
14.

Kernel-based data fusion and its application to protein function prediction in yeast.

Lanckriet GR, Deng M, Cristianini N, Jordan MI, Noble WS.

Pac Symp Biocomput. 2004:300-11.

15.

Support vector machine classification and validation of cancer tissue samples using microarray expression data.

Furey TS, Cristianini N, Duffy N, Bednarski DW, Schummer M, Haussler D.

Bioinformatics. 2000 Oct;16(10):906-14.

PMID:
11120680
16.

Knowledge-based analysis of microarray gene expression data by using support vector machines.

Brown MP, Grundy WN, Lin D, Cristianini N, Sugnet CW, Furey TS, Ares M Jr, Haussler D.

Proc Natl Acad Sci U S A. 2000 Jan 4;97(1):262-7.

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