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Items: 1 to 20 of 149

1.

High-dimensional omics data analysis using a variable screening protocol with prior knowledge integration (SKI).

Liu C, Jiang J, Gu J, Yu Z, Wang T, Lu H.

BMC Syst Biol. 2016 Dec 23;10(Suppl 4):118. doi: 10.1186/s12918-016-0358-0.

2.

A small molecule inhibitor of mutant IDH2 rescues cardiomyopathy in a D-2-hydroxyglutaric aciduria type II mouse model.

Wang F, Travins J, Lin Z, Si Y, Chen Y, Powe J, Murray S, Zhu D, Artin E, Gross S, Santiago S, Steadman M, Kernytsky A, Straley K, Lu C, Pop A, Struys EA, Jansen EE, Salomons GS, David MD, Quivoron C, Penard-Lacronique V, Regan KS, Liu W, Dang L, Yang H, Silverman L, Agresta S, Dorsch M, Biller S, Yen K, Cang Y, Su SM, Jin S.

J Inherit Metab Dis. 2016 Nov;39(6):807-820. Epub 2016 Jul 28.

3.

Integrating text mining, data mining, and network analysis for identifying genetic breast cancer trends.

Jurca G, Addam O, Aksac A, Gao S, Özyer T, Demetrick D, Alhajj R.

BMC Res Notes. 2016 Apr 26;9:236. doi: 10.1186/s13104-016-2023-5.

4.

HNdb: an integrated database of gene and protein information on head and neck squamous cell carcinoma.

Henrique T, José Freitas da Silveira N, Henrique Cunha Volpato A, Mioto MM, Carolina Buzzo Stefanini A, Bachir Fares A, Gustavo da Silva Castro Andrade J, Masson C, Verónica Mendoza López R, Daumas Nunes F, Paulo Kowalski L, Severino P, Tajara EH.

Database (Oxford). 2016 Mar 24;2016. pii: baw026. doi: 10.1093/database/baw026. Print 2016.

5.

Text mining for identifying topics in the literatures about adolescent substance use and depression.

Wang SH, Ding Y, Zhao W, Huang YH, Perkins R, Zou W, Chen JJ.

BMC Public Health. 2016 Mar 19;16:279. doi: 10.1186/s12889-016-2932-1.

6.

Survey of Natural Language Processing Techniques in Bioinformatics.

Zeng Z, Shi H, Wu Y, Hong Z.

Comput Math Methods Med. 2015;2015:674296. doi: 10.1155/2015/674296. Epub 2015 Oct 7. Review.

7.

Beegle: from literature mining to disease-gene discovery.

ElShal S, Tranchevent LC, Sifrim A, Ardeshirdavani A, Davis J, Moreau Y.

Nucleic Acids Res. 2016 Jan 29;44(2):e18. doi: 10.1093/nar/gkv905. Epub 2015 Sep 17.

8.

A Relation Extraction Framework for Biomedical Text Using Hybrid Feature Set.

Muzaffar AW, Azam F, Qamar U.

Comput Math Methods Med. 2015;2015:910423. doi: 10.1155/2015/910423. Epub 2015 Aug 10.

9.

Learning the Structure of Biomedical Relationships from Unstructured Text.

Percha B, Altman RB.

PLoS Comput Biol. 2015 Jul 28;11(7):e1004216. doi: 10.1371/journal.pcbi.1004216. eCollection 2015 Jul.

10.

Cheminformatics models based on machine learning approaches for design of USP1/UAF1 abrogators as anticancer agents.

Wahi D, Jamal S, Goyal S, Singh A, Jain R, Rana P, Grover A.

Syst Synth Biol. 2015 Jun;9(1-2):33-43. doi: 10.1007/s11693-015-9162-1. Epub 2015 Jan 30.

11.

Extraction of pharmacokinetic evidence of drug-drug interactions from the literature.

Kolchinsky A, Lourenço A, Wu HY, Li L, Rocha LM.

PLoS One. 2015 May 11;10(5):e0122199. doi: 10.1371/journal.pone.0122199. eCollection 2015.

12.

PubMedMiner: Mining and Visualizing MeSH-based Associations in PubMed.

Zhang Y, Sarkar IN, Chen ES.

AMIA Annu Symp Proc. 2014 Nov 14;2014:1990-9. eCollection 2014.

13.

Community challenges in biomedical text mining over 10 years: success, failure and the future.

Huang CC, Lu Z.

Brief Bioinform. 2016 Jan;17(1):132-44. doi: 10.1093/bib/bbv024. Epub 2015 May 1. Review.

14.

Prediction of drug indications based on chemical interactions and chemical similarities.

Huang G, Lu Y, Lu C, Zheng M, Cai YD.

Biomed Res Int. 2015;2015:584546. doi: 10.1155/2015/584546. Epub 2015 Mar 2.

15.

CHEMDNER: The drugs and chemical names extraction challenge.

Krallinger M, Leitner F, Rabal O, Vazquez M, Oyarzabal J, Valencia A.

J Cheminform. 2015 Jan 19;7(Suppl 1 Text mining for chemistry and the CHEMDNER track):S1. doi: 10.1186/1758-2946-7-S1-S1. eCollection 2015.

16.

Toward computational cumulative biology by combining models of biological datasets.

Faisal A, Peltonen J, Georgii E, Rung J, Kaski S.

PLoS One. 2014 Nov 26;9(11):e113053. doi: 10.1371/journal.pone.0113053. eCollection 2014.

17.

Semi-automated literature mining to identify putative biomarkers of disease from multiple biofluids.

Jordan R, Visweswaran S, Gopalakrishnan V.

J Clin Bioinforma. 2014 Oct 23;4:13. doi: 10.1186/2043-9113-4-13. eCollection 2014.

18.

Full text clustering and relationship network analysis of biomedical publications.

Guan R, Yang C, Marchese M, Liang Y, Shi X.

PLoS One. 2014 Sep 24;9(9):e108847. doi: 10.1371/journal.pone.0108847. eCollection 2014.

19.

Big data in medicine is driving big changes.

Martin-Sanchez F, Verspoor K.

Yearb Med Inform. 2014 Aug 15;9:14-20. doi: 10.15265/IY-2014-0020. Review.

20.

Finding pathway-modulating genes from a novel Ontology Fingerprint-derived gene network.

Qin T, Matmati N, Tsoi LC, Mohanty BK, Gao N, Tang J, Lawson AB, Hannun YA, Zheng WJ.

Nucleic Acids Res. 2014 Oct;42(18):e138. doi: 10.1093/nar/gku678. Epub 2014 Jul 24.

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