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Items: 1 to 20 of 42

1.

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.

2.

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.

3.

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.

4.

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.

PMID:
26244521
5.

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.

6.

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.

7.

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.

8.

Raising the bar for reproducible science at the U.S. Environmental Protection Agency Office of Research and Development.

George BJ, Sobus JR, Phelps LP, Rashleigh B, Simmons JE, Hines RN; Community of Practice for Statistics Guidance Documents Working Groups.

Toxicol Sci. 2015 May;145(1):16-22. doi: 10.1093/toxsci/kfv020. Epub 2015 Mar 19.

10.

An open investigation of the reproducibility of cancer biology research.

Errington TM, Iorns E, Gunn W, Tan FE, Lomax J, Nosek BA.

Elife. 2014 Dec 10;3. doi: 10.7554/eLife.04333.

11.

Derivative component analysis for mass spectral serum proteomic profiles.

Han H.

BMC Med Genomics. 2014;7 Suppl 1:S5. doi: 10.1186/1755-8794-7-S1-S5. Epub 2014 May 8.

12.

A primer series on -omic technologies for the practice of epidemiology.

Khoury MJ.

Am J Epidemiol. 2014 Jul 15;180(2):127-8. doi: 10.1093/aje/kwu141. Epub 2014 Jun 24. No abstract available.

13.

MOPED 2.5--an integrated multi-omics resource: multi-omics profiling expression database now includes transcriptomics data.

Montague E, Stanberry L, Higdon R, Janko I, Lee E, Anderson N, Choiniere J, Stewart E, Yandl G, Broomall W, Kolker N, Kolker E.

OMICS. 2014 Jun;18(6):335-43. doi: 10.1089/omi.2014.0061.

14.

External validation of multivariable prediction models: a systematic review of methodological conduct and reporting.

Collins GS, de Groot JA, Dutton S, Omar O, Shanyinde M, Tajar A, Voysey M, Wharton R, Yu LM, Moons KG, Altman DG.

BMC Med Res Methodol. 2014 Mar 19;14:40. doi: 10.1186/1471-2288-14-40. Review.

15.

High-throughput gene expression and mutation profiling: current methods and future perspectives.

Karn T.

Breast Care (Basel). 2013 Dec;8(6):401-6. doi: 10.1159/000357461. Review.

16.

Signal intensities derived from different NMR probes and parameters contribute to variations in quantification of metabolites.

Lacy P, McKay RT, Finkel M, Karnovsky A, Woehler S, Lewis MJ, Chang D, Stringer KA.

PLoS One. 2014 Jan 21;9(1):e85732. doi: 10.1371/journal.pone.0085732. eCollection 2014. Erratum in: PLoS One. 2014;9(7):e102929.

17.

Increasing value and reducing waste in research design, conduct, and analysis.

Ioannidis JP, Greenland S, Hlatky MA, Khoury MJ, Macleod MR, Moher D, Schulz KF, Tibshirani R.

Lancet. 2014 Jan 11;383(9912):166-75. doi: 10.1016/S0140-6736(13)62227-8. Epub 2014 Jan 8.

18.

Predictive genetic testing, risk communication, and risk perception: an international expert meeting in Berlin, Germany.

Fisher E, Achilles S, Tönnies H.

J Community Genet. 2014 Jan;5(1):1-5. doi: 10.1007/s12687-013-0177-6. Epub 2013 Dec 10. No abstract available.

19.

Criteria for the use of omics-based predictors in clinical trials: explanation and elaboration.

McShane LM, Cavenagh MM, Lively TG, Eberhard DA, Bigbee WL, Williams PM, Mesirov JP, Polley MY, Kim KY, Tricoli JV, Taylor JM, Shuman DJ, Simon RM, Doroshow JH, Conley BA.

BMC Med. 2013 Oct 17;11:220. doi: 10.1186/1741-7015-11-220.

20.

Lessons learned from radiation oncology clinical trials.

Liu FF; workshop participants, Okunieff P, Bernhard EJ, Stone HB, Yoo S, Coleman CN, Vikram B, Brown M, Buatti J, Guha C.

Clin Cancer Res. 2013 Nov 15;19(22):6089-100. doi: 10.1158/1078-0432.CCR-13-1116. Epub 2013 Sep 16. Review.

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