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Better together: multiplexing samples to improve the preparation and reliability of gene expression studies.

Nature methods

Mortazavi A.
PMID: 25825835
Nat Methods. 2015 Apr;12(4):304-5. doi: 10.1038/nmeth.3333.

No abstract available.

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Mortazavi A. Better together: multiplexing samples to improve the preparation and reliability of gene expression studies. Nat Methods. 2015;12(4):304-5doi: 10.1038/nmeth.3333.
Mortazavi, A. (2015). Better together: multiplexing samples to improve the preparation and reliability of gene expression studies. Nature methods, 12(4), 304-5. https://doi.org/10.1038/nmeth.3333
Mortazavi, Ali. "Better together: multiplexing samples to improve the preparation and reliability of gene expression studies." Nature methods vol. 12,4 (2015): 304-5. doi: https://doi.org/10.1038/nmeth.3333
Mortazavi A. Better together: multiplexing samples to improve the preparation and reliability of gene expression studies. Nat Methods. 2015 Apr;12(4):304-5. doi: 10.1038/nmeth.3333. PMID: 25825835.
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Critical assessment of microarray data analysis: the 2001 challenge.

Bioinformatics (Oxford, England)

Johnson KF, Lin SM.
PMID: 11590109
Bioinformatics. 2001 Sep;17(9):857-8. doi: 10.1093/bioinformatics/17.9.857.

UNLABELLED: We initiated the Critical Assessment of Microarray Data Analysis (CAMDA) conference to stimulate and evaluate the development of advanced data analysis techniques for microarrays. A standard data set has been released for this data analysis challenge. The goal...

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Johnson KF, Lin SM. Critical assessment of microarray data analysis: the 2001 challenge. Bioinformatics. 2001;17(9):857-8doi: 10.1093/bioinformatics/17.9.857.
Johnson, K. F., & Lin, S. M. (2001). Critical assessment of microarray data analysis: the 2001 challenge. Bioinformatics (Oxford, England), 17(9), 857-8. https://doi.org/10.1093/bioinformatics/17.9.857
Johnson, K F, and Lin, S M. "Critical assessment of microarray data analysis: the 2001 challenge." Bioinformatics (Oxford, England) vol. 17,9 (2001): 857-8. doi: https://doi.org/10.1093/bioinformatics/17.9.857
Johnson KF, Lin SM. Critical assessment of microarray data analysis: the 2001 challenge. Bioinformatics. 2001 Sep;17(9):857-8. doi: 10.1093/bioinformatics/17.9.857. PMID: 11590109.
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Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data.

BMC bioinformatics

Martin DE, Demougin P, Hall MN, Bellis M.
PMID: 15476558
BMC Bioinformatics. 2004 Oct 11;5:148. doi: 10.1186/1471-2105-5-148.

BACKGROUND: A key step in the analysis of microarray expression profiling data is the identification of genes that display statistically significant changes in expression signals between two biological conditions.RESULTS: We describe a new method, Rank Difference Analysis of Microarrays...

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Martin DE, Demougin P, Hall MN, et al. Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data. BMC Bioinformatics. 2004;5:148doi: 10.1186/1471-2105-5-148.
Martin, D. E., Demougin, P., Hall, M. N., & Bellis, M. (2004). Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data. BMC bioinformatics, 5148. https://doi.org/10.1186/1471-2105-5-148
Martin, Dietmar E, et al. "Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data." BMC bioinformatics vol. 5 (2004): 148. doi: https://doi.org/10.1186/1471-2105-5-148
Martin DE, Demougin P, Hall MN, Bellis M. Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data. BMC Bioinformatics. 2004 Oct 11;5:148. doi: 10.1186/1471-2105-5-148. PMID: 15476558; PMCID: PMC526220.
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Recent Development in Omics Studies.

Advances in experimental medicine and biology

Aizat WM, Ismail I, Noor NM.
PMID: 30382565
Adv Exp Med Biol. 2018;1102:1-9. doi: 10.1007/978-3-319-98758-3_1.

The central dogma of molecular biology (DNA, RNA, protein and metabolite) has engraved our understanding of genetics in all living organisms. While the concept has been embraced for many decades, the development of high-throughput technologies particularly omics (genomics, transcriptomics,...

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Aizat WM, Ismail I, Noor NM. Recent Development in Omics Studies. Adv Exp Med Biol. 2018;1102:1-9doi: 10.1007/978-3-319-98758-3_1.
Aizat, W. M., Ismail, I., & Noor, N. M. (2018). Recent Development in Omics Studies. Advances in experimental medicine and biology, 11021-9. https://doi.org/10.1007/978-3-319-98758-3_1
Aizat, Wan Mohd, et al. "Recent Development in Omics Studies." Advances in experimental medicine and biology vol. 1102 (2018): 1-9. doi: https://doi.org/10.1007/978-3-319-98758-3_1
Aizat WM, Ismail I, Noor NM. Recent Development in Omics Studies. Adv Exp Med Biol. 2018;1102:1-9. doi: 10.1007/978-3-319-98758-3_1. PMID: 30382565.
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Microarray expression profiling: analysis and applications.

Current opinion in drug discovery & development

Xiang Z, Yang Y, Ma X, Ding W.
PMID: 12833672
Curr Opin Drug Discov Devel. 2003 May;6(3):384-95.

Recent advances in the technology of massive parallel gene expression profiling using microarrays are revolutionizing biomedical research and pharmacological discovery. These new and powerful tools allow researchers to examine the dynamics of a whole biological system by simultaneously interrogating...

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Xiang Z, Yang Y, Ma X, et al. Microarray expression profiling: analysis and applications. Curr Opin Drug Discov Devel. 2003;6(3):384-95
Xiang, Z., Yang, Y., Ma, X., & Ding, W. (2003). Microarray expression profiling: analysis and applications. Current opinion in drug discovery & development, 6(3), 384-95.
Xiang, Zhaoying, et al. "Microarray expression profiling: analysis and applications." Current opinion in drug discovery & development vol. 6,3 (2003): 384-95.
Xiang Z, Yang Y, Ma X, Ding W. Microarray expression profiling: analysis and applications. Curr Opin Drug Discov Devel. 2003 May;6(3):384-95. PMID: 12833672.
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Getting sidetracked.

BioTechniques

Bonetta L.
PMID: 16206899
Biotechniques. 2005 Sep;39(3):291. doi: 10.2144/05393SP01.

No abstract available.

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Bonetta L. Getting sidetracked. Biotechniques. 2005;39(3):291doi: 10.2144/05393SP01.
Bonetta, L. (2005). Getting sidetracked. BioTechniques, 39(3), 291. https://doi.org/10.2144/05393SP01
Bonetta, Laura. "Getting sidetracked." BioTechniques vol. 39,3 (2005): 291. doi: https://doi.org/10.2144/05393SP01
Bonetta L. Getting sidetracked. Biotechniques. 2005 Sep;39(3):291. doi: 10.2144/05393SP01. PMID: 16206899.
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The genetic basis of peripheral arterial disease: current knowledge, challenges, and future directions.

Circulation research

Kullo IJ, Leeper NJ.
PMID: 25908728
Circ Res. 2015 Apr 24;116(9):1551-60. doi: 10.1161/CIRCRESAHA.116.303518.

Several risk factors for atherosclerotic peripheral arterial disease (PAD), such as dyslipidemia, diabetes mellitus, and hypertension, are heritable. However, predisposition to PAD may be influenced by genetic variants acting independently of these risk factors. Identification of such genetic variants...

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Kullo IJ, Leeper NJ. The genetic basis of peripheral arterial disease: current knowledge, challenges, and future directions. Circ Res. 2015;116(9):1551-60doi: 10.1161/CIRCRESAHA.116.303518.
Kullo, I. J., & Leeper, N. J. (2015). The genetic basis of peripheral arterial disease: current knowledge, challenges, and future directions. Circulation research, 116(9), 1551-60. https://doi.org/10.1161/CIRCRESAHA.116.303518
Kullo, Iftikhar J, and Leeper, Nicholas J. "The genetic basis of peripheral arterial disease: current knowledge, challenges, and future directions." Circulation research vol. 116,9 (2015): 1551-60. doi: https://doi.org/10.1161/CIRCRESAHA.116.303518
Kullo IJ, Leeper NJ. The genetic basis of peripheral arterial disease: current knowledge, challenges, and future directions. Circ Res. 2015 Apr 24;116(9):1551-60. doi: 10.1161/CIRCRESAHA.116.303518. PMID: 25908728; PMCID: PMC4410432.
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New approach to gene expression analysis.

Drug discovery today

Habeck M.
PMID: 12801786
Drug Discov Today. 2003 May 15;8(10):427-8. doi: 10.1016/s1359-6446(03)02705-3.

No abstract available.

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Habeck M. New approach to gene expression analysis. Drug Discov Today. 2003;8(10):427-8doi: 10.1016/s1359-6446(03)02705-3.
Habeck, M. (2003). New approach to gene expression analysis. Drug discovery today, 8(10), 427-8. https://doi.org/10.1016/s1359-6446(03)02705-3
Habeck, Martina. "New approach to gene expression analysis." Drug discovery today vol. 8,10 (2003): 427-8. doi: https://doi.org/10.1016/s1359-6446(03)02705-3
Habeck M. New approach to gene expression analysis. Drug Discov Today. 2003 May 15;8(10):427-8. doi: 10.1016/s1359-6446(03)02705-3. PMID: 12801786.
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The future is here: tumour profiling in day-to-day clinical practice.

Drug discovery today

Lemech CR, Arkenau HT.
PMID: 23796913
Drug Discov Today. 2013 Aug;18(15):689-91. doi: 10.1016/j.drudis.2013.06.006. Epub 2013 Jun 22.

No abstract available.

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Lemech CR, Arkenau HT. The future is here: tumour profiling in day-to-day clinical practice. Drug Discov Today. 2013;18(15):689-91doi: 10.1016/j.drudis.2013.06.006.
Lemech, C. R., & Arkenau, H. T. (2013). The future is here: tumour profiling in day-to-day clinical practice. Drug discovery today, 18(15), 689-91. https://doi.org/10.1016/j.drudis.2013.06.006
Lemech, Charlotte R, and Arkenau, Hendrik-Tobias. "The future is here: tumour profiling in day-to-day clinical practice." Drug discovery today vol. 18,15 (2013): 689-91. doi: https://doi.org/10.1016/j.drudis.2013.06.006
Lemech CR, Arkenau HT. The future is here: tumour profiling in day-to-day clinical practice. Drug Discov Today. 2013 Aug;18(15):689-91. doi: 10.1016/j.drudis.2013.06.006. Epub 2013 Jun 22. PMID: 23796913.
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Making sense of microarray data to classify cancer.

The pharmacogenomics journal

Hanash S, Creighton C.
PMID: 14597962
Pharmacogenomics J. 2003;3(6):308-11. doi: 10.1038/sj.tpj.6500209.

No abstract available.

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Hanash S, Creighton C. Making sense of microarray data to classify cancer. Pharmacogenomics J. 2003;3(6):308-11doi: 10.1038/sj.tpj.6500209.
Hanash, S., & Creighton, C. (2003). Making sense of microarray data to classify cancer. The pharmacogenomics journal, 3(6), 308-11. https://doi.org/10.1038/sj.tpj.6500209
Hanash, S, and Creighton, C. "Making sense of microarray data to classify cancer." The pharmacogenomics journal vol. 3,6 (2003): 308-11. doi: https://doi.org/10.1038/sj.tpj.6500209
Hanash S, Creighton C. Making sense of microarray data to classify cancer. Pharmacogenomics J. 2003;3(6):308-11. doi: 10.1038/sj.tpj.6500209. PMID: 14597962.
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Bioinformatics and biomedical informatics.

TheScientificWorldJournal

Najarian K, Deriche R, Kon MA, Hirata NS.
PMID: 23818827
ScientificWorldJournal. 2013 May 29;2013:591976. doi: 10.1155/2013/591976. Print 2013.

No abstract available.

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Najarian K, Deriche R, Kon MA, et al. Bioinformatics and biomedical informatics. ScientificWorldJournal. 2013;2013:591976doi: 10.1155/2013/591976.
Najarian, K., Deriche, R., Kon, M. A., & Hirata, N. S. (2013). Bioinformatics and biomedical informatics. TheScientificWorldJournal, 2013591976. https://doi.org/10.1155/2013/591976
Najarian, Kayvan, et al. "Bioinformatics and biomedical informatics." TheScientificWorldJournal vol. 2013 (2013): 591976. doi: https://doi.org/10.1155/2013/591976
Najarian K, Deriche R, Kon MA, Hirata NS. Bioinformatics and biomedical informatics. ScientificWorldJournal. 2013 May 29;2013:591976. doi: 10.1155/2013/591976. Print 2013. PMID: 23818827; PMCID: PMC3681308.
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Showing 1 to 11 of 11 entries