Publications

Human post-mortem synapse proteome integrity screening for proteomic studies of postsynaptic complexes

Bayés À, Collins MO, Galtrey CM, Simonnet C, Roy M, Croning MD, Gou G, van de Lagemaat LN, Milward D, Whittle IR, Smith C, Choudhary JS, Grant SG.

Mol Brain. 2014 Nov; 7:88

PMID: 25429717

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4271336/


Discovery of novel biomarkers and phenotypes by semantic technologies

Trugenberger CA, Wälti C, Peregrim D, Sharp ME, Bureeva S.

BMC Bioinformatics. 2013 Feb; 14:51

PMID: 23402646

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3605201/


Evaluating gold standard corpora against gene/ protein tagging solutions and lexical resources

Rebholz-Schuhmann D, Kafkas S, Kim JH, Li C, Jimeno Yepes A, Hoehndorf R, Backofen R, Lewin I.

J Biomed Semantics. 2013 Oct; 4(1):28

PMID: 24112383

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4021975/


Integration of software tools in patent analysis

Masiakowski P, Wang S

World Patent Inform. 2013 Jan; 35(2): 97-104

PMID: http://www.sciencedirect.com/science/article/pii/S0172219012002116

Abstract

Modern patent information analysis requires, in addition to profound domain knowledge, sophisticated and specialized computer software tools. Integration of such resources can be a challenging task.


Automated identification of pneumonia in chest radiograph reports in critically ill patients

Liu V, Clark MP, Mendoza M, Saket R, Gardner MN, Turk BJ, Escobar GJ.

BMC Med Inform Decis Mak. 2013 Aug; 13:90

PMID: 23947340

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3765332/

Abstract

BACKGROUND:
Prior studies demonstrate the suitability of natural language processing (NLP) for identifying pneumonia in chest radiograph (CXR) reports, however, few evaluate this approach in intensive care unit (ICU) patients.