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Items: 1 to 20 of 55

1.

ILF2 and ILF3 are autoantigens in canine systemic autoimmune disease.

Bremer HD, Landegren N, Sjöberg R, Hallgren Å, Renneker S, Lattwein E, Leonard D, Eloranta ML, Rönnblom L, Nordmark G, Nilsson P, Andersson G, Lilliehöök I, Lindblad-Toh K, Kämpe O, Hansson-Hamlin H.

Sci Rep. 2018 Mar 19;8(1):4852. doi: 10.1038/s41598-018-23034-w.

2.

While it is not deliberate, much of today's biomedical research contains logical and technical flaws, showing a need for corrective action.

He Y, Yuan C, Chen L, Liu Y, Zhou H, Xu N, Liao DJ.

Int J Med Sci. 2018 Jan 19;15(4):309-322. doi: 10.7150/ijms.23215. eCollection 2018. Review.

3.

Promise, Progress, and Pitfalls in the Search for Central Nervous System Biomarkers in Neuroimmunological Diseases: A Role for Cerebrospinal Fluid Immunophenotyping.

Bielekova B, Pranzatelli MR.

Semin Pediatr Neurol. 2017 Aug;24(3):229-239. doi: 10.1016/j.spen.2017.08.001. Epub 2017 Aug 12. Review.

PMID:
29103430
4.

Repeat: a framework to assess empirical reproducibility in biomedical research.

McIntosh LD, Juehne A, Vitale CRH, Liu X, Alcoser R, Lukas JC, Evanoff B.

BMC Med Res Methodol. 2017 Sep 18;17(1):143. doi: 10.1186/s12874-017-0377-6.

5.

Using omics approaches to understand pulmonary diseases.

Kan M, Shumyatcher M, Himes BE.

Respir Res. 2017 Aug 3;18(1):149. doi: 10.1186/s12931-017-0631-9. Review.

6.

A review of metabolomics approaches and their application in identifying causal pathways of childhood asthma.

Turi KN, Romick-Rosendale L, Ryckman KK, Hartert TV.

J Allergy Clin Immunol. 2018 Apr;141(4):1191-1201. doi: 10.1016/j.jaci.2017.04.021. Epub 2017 May 4.

PMID:
28479327
7.

A simulation study of the strength of evidence in the recommendation of medications based on two trials with statistically significant results.

van Ravenzwaaij D, Ioannidis JP.

PLoS One. 2017 Mar 8;12(3):e0173184. doi: 10.1371/journal.pone.0173184. eCollection 2017.

8.

Replication Rate, Framing, and Format Affect Attitudes and Decisions about Science Claims.

Barnes RM, Tobin SJ, Johnston HM, MacKenzie N, Taglang CM.

Front Psychol. 2016 Nov 22;7:1826. eCollection 2016.

9.

Jenkins-CI, an Open-Source Continuous Integration System, as a Scientific Data and Image-Processing Platform.

Moutsatsos IK, Hossain I, Agarinis C, Harbinski F, Abraham Y, Dobler L, Zhang X, Wilson CJ, Jenkins JL, Holway N, Tallarico J, Parker CN.

SLAS Discov. 2017 Mar;22(3):238-249. doi: 10.1177/1087057116679993. Epub 2016 Dec 13.

10.

The reproducibility of biomedical research: Sleepers awake!

Bustin SA.

Biomol Detect Quantif. 2015 Jan 21;2:35-42. eCollection 2014 Dec. Review.

11.

Omics-Based Strategies in Precision Medicine: Toward a Paradigm Shift in Inborn Errors of Metabolism Investigations.

Tebani A, Afonso C, Marret S, Bekri S.

Int J Mol Sci. 2016 Sep 14;17(9). pii: E1555. doi: 10.3390/ijms17091555. Review.

12.

Avoidance of stochastic RNA interactions can be harnessed to control protein expression levels in bacteria and archaea.

Umu SU, Poole AM, Dobson RC, Gardner PP.

Elife. 2016 Sep 20;5. pii: e13479. doi: 10.7554/eLife.13479.

13.

Against Dataism and for Data Sharing of Big Biomedical and Clinical Data with Research Parasites.

Emmert-Streib F, Dehmer M, Yli-Harja O.

Front Genet. 2016 Aug 31;7:154. doi: 10.3389/fgene.2016.00154. eCollection 2016. No abstract available.

14.

Planning clinically relevant biomarker validation studies using the "number needed to treat" concept.

Day RS.

J Transl Med. 2016 May 4;14(1):117. doi: 10.1186/s12967-016-0862-4.

15.

When Quality Beats Quantity: Decision Theory, Drug Discovery, and the Reproducibility Crisis.

Scannell JW, Bosley J.

PLoS One. 2016 Feb 10;11(2):e0147215. doi: 10.1371/journal.pone.0147215. eCollection 2016.

16.

The ABRF Metabolomics Research Group 2013 Study: Investigation of Spiked Compound Differences in a Human Plasma Matrix.

Cheema AK, Asara JM, Wang Y, Neubert TA, Tolstikov V, Turck CW.

J Biomol Tech. 2015 Sep;26(3):83-9. doi: 10.7171/jbt.15-2603-001.

17.

Studying Cellular Signal Transduction with OMIC Technologies.

Landry BD, Clarke DC, Lee MJ.

J Mol Biol. 2015 Oct 23;427(21):3416-40. doi: 10.1016/j.jmb.2015.07.021. Epub 2015 Aug 3. Review.

18.

Analytical strategies for studying stem cell metabolism.

Arnold JM, Choi WT, Sreekumar A, Maletić-Savatić M.

Front Biol (Beijing). 2015 Apr;10(2):141-153.

19.

Emergent Transcriptomic Technologies and Their Role in the Discovery of Biomarkers of Liver Transplant Tolerance.

Mastoridis S, Martínez-Llordella M, Sanchez-Fueyo A.

Front Immunol. 2015 Jun 22;6:304. doi: 10.3389/fimmu.2015.00304. eCollection 2015. Review.

20.

From big data analysis to personalized medicine for all: challenges and opportunities.

Alyass A, Turcotte M, Meyre D.

BMC Med Genomics. 2015 Jun 27;8:33. doi: 10.1186/s12920-015-0108-y. Review.

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