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Showing 13 to 24 of 1121 entries
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SSER: Species specific essential reactions database.

BMC systems biology

Labena AA, Ye YN, Dong C, Zhang FZ, Guo FB.
PMID: 28420402
BMC Syst Biol. 2017 Apr 19;11(1):50. doi: 10.1186/s12918-017-0426-0.

BACKGROUND: Essential reactions are vital components of cellular networks. They are the foundations of synthetic biology and are potential candidate targets for antimetabolic drug design. Especially if a single reaction is catalyzed by multiple enzymes, then inhibiting the reaction...

A heuristic approach to determine an appropriate number of topics in topic modeling.

BMC bioinformatics

Zhao W, Chen JJ, Perkins R, Liu Z, Ge W, Ding Y, Zou W.
PMID: 26424364
BMC Bioinformatics. 2015;16:S8. doi: 10.1186/1471-2105-16-S13-S8. Epub 2015 Sep 25.

BACKGROUND: Topic modelling is an active research field in machine learning. While mainly used to build models from unstructured textual data, it offers an effective means of data mining where samples represent documents, and different biological endpoints or omics...

Pathogen metadata platform: software for accessing and analyzing pathogen strain information.

BMC bioinformatics

Chang WE, Peterson MW, Garay CD, Korves T.
PMID: 27634291
BMC Bioinformatics. 2016 Sep 15;17(1):379. doi: 10.1186/s12859-016-1231-2.

BACKGROUND: Pathogen metadata includes information about where and when a pathogen was collected and the type of environment it came from. Along with genomic nucleotide sequence data, this metadata is growing rapidly and becoming a valuable resource not only...

A review of the literature and proposed classification on e-prescribing: Functions, assimilation stages, benefits, concerns, and risks.

Research in social & administrative pharmacy : RSAP

Esmaeil Zadeh P, Tremblay MC.
PMID: 25847858
Res Social Adm Pharm. 2016 Jan-Feb;12(1):1-19. doi: 10.1016/j.sapharm.2015.03.001. Epub 2015 Mar 14.

BACKGROUND: Evidence from the literature indicates that besides its benefits, e-prescribing also generates new types of unintended medication errors that have the potential to harm patient safety. Analyzing both the benefits and risks of e-prescribing can give health care...

Case for fMRI data repositories.

Proceedings of the National Academy of Sciences of the United States of America

Iyengar S.
PMID: 27357671
Proc Natl Acad Sci U S A. 2016 Jul 12;113(28):7699-700. doi: 10.1073/pnas.1608146113. Epub 2016 Jun 29.

No abstract available.

Restricted Versus Unrestricted Search Space: Experience from Mining a Large Japanese Database.

Studies in health technology and informatics

Nienhoff H, Huebner U, Frey A, Przysucha M, Kimura M.
PMID: 26262371
Stud Health Technol Inform. 2015;216:1072.

The aim of this study was to investigate whether standard Big Data mining methods lead to clinically useful results. An association analysis was performed using the apriori algorithm to discover associations among co-morbidities of diabetes patients. Selected data were...

SPANG: a SPARQL client supporting generation and reuse of queries for distributed RDF databases.

BMC bioinformatics

Chiba H, Uchiyama I.
PMID: 28178937
BMC Bioinformatics. 2017 Feb 08;18(1):93. doi: 10.1186/s12859-017-1531-1.

BACKGROUND: Toward improved interoperability of distributed biological databases, an increasing number of datasets have been published in the standardized Resource Description Framework (RDF). Although the powerful SPARQL Protocol and RDF Query Language (SPARQL) provides a basis for exploiting RDF...

Comparison of ancient and modern Chinese based on complex weighted networks.

PloS one

Cui X, Qi J, Tan H, Chen F.
PMID: 29125870
PLoS One. 2017 Nov 10;12(11):e0187854. doi: 10.1371/journal.pone.0187854. eCollection 2017.

In this study, we compare statistical properties of ancient and modern Chinese within the framework of weighted complex networks. We examine two language networks based on different Chinese versions of the Records of the Grand Historian. The comparative results...

Incidence and mortality of lung cancer: global trends and association with socioeconomic status.

Scientific reports

Wong MCS, Lao XQ, Ho KF, Goggins WB, Tse SLA.
PMID: 29085026
Sci Rep. 2017 Oct 30;7(1):14300. doi: 10.1038/s41598-017-14513-7.

We examined the correlation between lung cancer incidence/mortality and country-specific socioeconomic development, and evaluated its most recent global trends. We retrieved its age-standardized incidence rates from the GLOBOCAN database, and temporal patterns were assessed from global databases. We employed...

Reconciling evidence-based medicine and precision medicine in the era of big data: challenges and opportunities.

Genome medicine

Beckmann JS, Lew D.
PMID: 27993174
Genome Med. 2016 Dec 19;8(1):134. doi: 10.1186/s13073-016-0388-7.

This era of groundbreaking scientific developments in high-resolution, high-throughput technologies is allowing the cost-effective collection and analysis of huge, disparate datasets on individual health. Proper data mining and translation of the vast datasets into clinically actionable knowledge will require...

BioCreative V CDR task corpus: a resource for chemical disease relation extraction.

Database : the journal of biological databases and curation

Li J, Sun Y, Johnson RJ, Sciaky D, Wei CH, Leaman R, Davis AP, Mattingly CJ, Wiegers TC, Lu Z.
PMID: 27161011
Database (Oxford). 2016 May 09;2016. doi: 10.1093/database/baw068. Print 2016.

Community-run, formal evaluations and manually annotated text corpora are critically important for advancing biomedical text-mining research. Recently in BioCreative V, a new challenge was organized for the tasks of disease named entity recognition (DNER) and chemical-induced disease (CID) relation...

Knowledge and theme discovery across very large biological data sets using distributed queries: a prototype combining unstructured and structured data.

PloS one

Mudunuri US, Khouja M, Repetski S, Venkataraman G, Che A, Luke BT, Girard FP, Stephens RM.
PMID: 24312478
PLoS One. 2013 Dec 02;8(12):e80503. doi: 10.1371/journal.pone.0080503. eCollection 2013.

As the discipline of biomedical science continues to apply new technologies capable of producing unprecedented volumes of noisy and complex biological data, it has become evident that available methods for deriving meaningful information from such data are simply not...

Showing 13 to 24 of 1121 entries