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Probabilistic model of waiting times between large failures in sheared media.

Physical review. E

Brinkman BA, LeBlanc MP, Uhl JT, Ben-Zion Y, Dahmen KA.
PMID: 26871148
Phys Rev E. 2016 Jan;93(1):013003. doi: 10.1103/PhysRevE.93.013003. Epub 2016 Jan 29.

Using a probabilistic approximation of a mean-field mechanistic model of sheared systems, we analytically calculate the statistical properties of large failures under slow shear loading. For general shear F(t), the distribution of waiting times between large system-spanning failures is...

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Brinkman BA, LeBlanc MP, Uhl JT, et al. Probabilistic model of waiting times between large failures in sheared media. Phys Rev E. 2016;93(1):013003doi: 10.1103/PhysRevE.93.013003.
Brinkman, B. A., LeBlanc, M. P., Uhl, J. T., Ben-Zion, Y., & Dahmen, K. A. (2016). Probabilistic model of waiting times between large failures in sheared media. Physical review. E, 93(1), 013003. https://doi.org/10.1103/PhysRevE.93.013003
Brinkman, Braden A W, et al. "Probabilistic model of waiting times between large failures in sheared media." Physical review. E vol. 93,1 (2016): 013003. doi: https://doi.org/10.1103/PhysRevE.93.013003
Brinkman BA, LeBlanc MP, Uhl JT, Ben-Zion Y, Dahmen KA. Probabilistic model of waiting times between large failures in sheared media. Phys Rev E. 2016 Jan;93(1):013003. doi: 10.1103/PhysRevE.93.013003. Epub 2016 Jan 29. PMID: 26871148.
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Breast cancer genome and transcriptome integration implicates specific mutational signatures with immune cell infiltration.

Nature communications

Smid M, Rodríguez-González FG, Sieuwerts AM, Salgado R, Prager-Van der Smissen WJ, Vlugt-Daane MV, van Galen A, Nik-Zainal S, Staaf J, Brinkman AB, van de Vijver MJ, Richardson AL, Fatima A, Berentsen K, Butler A, Martin S, Davies HR, Debets R, Gelder ME, van Deurzen CH, MacGrogan G, Van den Eynden GG, Purdie C, Thompson AM, Caldas C, Span PN, Simpson PT, Lakhani SR, Van Laere S, Desmedt C, Ringnér M, Tommasi S, Eyford J, Broeks A, Vincent-Salomon A, Futreal PA, Knappskog S, King T, Thomas G, Viari A, Langerød A, Børresen-Dale AL, Birney E, Stunnenberg HG, Stratton M, Foekens JA, Martens JW.
PMID: 27666519
Nat Commun. 2016 Sep 26;7:12910. doi: 10.1038/ncomms12910.

A recent comprehensive whole genome analysis of a large breast cancer cohort was used to link known and novel drivers and substitution signatures to the transcriptome of 266 cases. Here, we validate that subtype-specific aberrations show concordant expression changes...

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Smid M, Rodríguez-González FG, Sieuwerts AM, et al. Breast cancer genome and transcriptome integration implicates specific mutational signatures with immune cell infiltration. Nat Commun. 2016;7:12910doi: 10.1038/ncomms12910.
Smid, M., Rodríguez-González, F. G., Sieuwerts, A. M., Salgado, R., Prager-Van der Smissen, W. J., Vlugt-Daane, M. V., van Galen, A., Nik-Zainal, S., Staaf, J., Brinkman, A. B., van de Vijver, M. J., Richardson, A. L., Fatima, A., Berentsen, K., Butler, A., Martin, S., Davies, H. R., Debets, R., Gelder, M. E., van Deurzen, C. H., MacGrogan, G., Van den Eynden, G. G., Purdie, C., Thompson, A. M., Caldas, C., Span, P. N., Simpson, P. T., Lakhani, S. R., Van Laere, S., Desmedt, C., Ringnér, M., Tommasi, S., Eyford, J., Broeks, A., Vincent-Salomon, A., Futreal, P. A., Knappskog, S., King, T., Thomas, G., Viari, A., Langerød, A., Børresen-Dale, A. L., Birney, E., Stunnenberg, H. G., Stratton, M., Foekens, J. A., & Martens, J. W. (2016). Breast cancer genome and transcriptome integration implicates specific mutational signatures with immune cell infiltration. Nature communications, 712910. https://doi.org/10.1038/ncomms12910
Smid, Marcel, et al. "Breast cancer genome and transcriptome integration implicates specific mutational signatures with immune cell infiltration." Nature communications vol. 7 (2016): 12910. doi: https://doi.org/10.1038/ncomms12910
Smid M, Rodríguez-González FG, Sieuwerts AM, Salgado R, Prager-Van der Smissen WJ, Vlugt-Daane MV, van Galen A, Nik-Zainal S, Staaf J, Brinkman AB, van de Vijver MJ, Richardson AL, Fatima A, Berentsen K, Butler A, Martin S, Davies HR, Debets R, Gelder ME, van Deurzen CH, MacGrogan G, Van den Eynden GG, Purdie C, Thompson AM, Caldas C, Span PN, Simpson PT, Lakhani SR, Van Laere S, Desmedt C, Ringnér M, Tommasi S, Eyford J, Broeks A, Vincent-Salomon A, Futreal PA, Knappskog S, King T, Thomas G, Viari A, Langerød A, Børresen-Dale AL, Birney E, Stunnenberg HG, Stratton M, Foekens JA, Martens JW. Breast cancer genome and transcriptome integration implicates specific mutational signatures with immune cell infiltration. Nat Commun. 2016 Sep 26;7:12910. doi: 10.1038/ncomms12910. PMID: 27666519; PMCID: PMC5052682.
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Merging mixture components for cell population identification in flow cytometry.

Advances in bioinformatics

Finak G, Bashashati A, Brinkman R, Gottardo R.
PMID: 20049161
Adv Bioinformatics. 2009;247646. doi: 10.1155/2009/247646. Epub 2009 Nov 12.

We present a framework for the identification of cell subpopulations in flow cytometry data based on merging mixture components using the flowClust methodology. We show that the cluster merging algorithm under our framework improves model fit and provides a...

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Finak G, Bashashati A, Brinkman R, et al. Merging mixture components for cell population identification in flow cytometry. Adv Bioinformatics. 2009;247646doi: 10.1155/2009/247646.
Finak, G., Bashashati, A., Brinkman, R., & Gottardo, R. (2009). Merging mixture components for cell population identification in flow cytometry. Advances in bioinformatics, 247646. https://doi.org/10.1155/2009/247646
Finak, Greg, et al. "Merging mixture components for cell population identification in flow cytometry." Advances in bioinformatics vol. (2009): 247646. doi: https://doi.org/10.1155/2009/247646
Finak G, Bashashati A, Brinkman R, Gottardo R. Merging mixture components for cell population identification in flow cytometry. Adv Bioinformatics. 2009;247646. doi: 10.1155/2009/247646. Epub 2009 Nov 12. PMID: 20049161; PMCID: PMC2798116.
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Clinical evaluation of a custom-made toric soft lens.

Contact lens & anterior eye : the journal of the British Contact Lens Association

de Brabander J, Brinkman CJ, Nuyts RM, van Mil C, Sax T, Brookman E.
PMID: 16303427
Cont Lens Anterior Eye. 2000;23(1):22-8. doi: 10.1016/s1367-0484(00)80037-5.

PURPOSE: The fitting of toric soft contact lenses is often complicated by interference between the toric optics and the geometry need to stabilise the lens on the eye. The use of a spherical trial lens to determine the parameters...

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de Brabander J, Brinkman CJ, Nuyts RM, et al. Clinical evaluation of a custom-made toric soft lens. Cont Lens Anterior Eye. 2000;23(1):22-8doi: 10.1016/s1367-0484(00)80037-5.
de Brabander, J., Brinkman, C. J., Nuyts, R. M., van Mil, C., Sax, T., & Brookman, E. (2000). Clinical evaluation of a custom-made toric soft lens. Contact lens & anterior eye : the journal of the British Contact Lens Association, 23(1), 22-8. https://doi.org/10.1016/s1367-0484(00)80037-5
de Brabander, J, et al. "Clinical evaluation of a custom-made toric soft lens." Contact lens & anterior eye : the journal of the British Contact Lens Association vol. 23,1 (2000): 22-8. doi: https://doi.org/10.1016/s1367-0484(00)80037-5
de Brabander J, Brinkman CJ, Nuyts RM, van Mil C, Sax T, Brookman E. Clinical evaluation of a custom-made toric soft lens. Cont Lens Anterior Eye. 2000;23(1):22-8. doi: 10.1016/s1367-0484(00)80037-5. PMID: 16303427.
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The occurrence of several kinds of haemoglobin in human blood.

The Journal of physiology

Brinkman R, Jonxis JH.
PMID: 16994700
J Physiol. 1935 Oct 26;85(2):117-27. doi: 10.1113/jphysiol.1935.sp003306.

No abstract available.

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Brinkman R, Jonxis JH. The occurrence of several kinds of haemoglobin in human blood. J Physiol. 1935;85(2):117-27doi: 10.1113/jphysiol.1935.sp003306.
Brinkman, R., & Jonxis, J. H. (1935). The occurrence of several kinds of haemoglobin in human blood. The Journal of physiology, 85(2), 117-27. https://doi.org/10.1113/jphysiol.1935.sp003306
Brinkman, R, and Jonxis, J H. "The occurrence of several kinds of haemoglobin in human blood." The Journal of physiology vol. 85,2 (1935): 117-27. doi: https://doi.org/10.1113/jphysiol.1935.sp003306
Brinkman R, Jonxis JH. The occurrence of several kinds of haemoglobin in human blood. J Physiol. 1935 Oct 26;85(2):117-27. doi: 10.1113/jphysiol.1935.sp003306. PMID: 16994700; PMCID: PMC1394542.
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[Reorganization of higher education].

Tijdschrift voor sociale geneeskunde

BRENKMAN CJ.
PMID: 15403687
Tijdschr Soc Geneeskd. 1949 Dec 09;27(24):447-50.

No abstract available.

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BRENKMAN CJ. Reorganisatie hoger onderwijs. [Reorganization of higher education]. Tijdschr Soc Geneeskd. 1949;27(24):447-50
BRENKMAN, C. J. (1949). Reorganisatie hoger onderwijs. [Reorganization of higher education]. Tijdschrift voor sociale geneeskunde, 27(24), 447-50.
BRENKMAN, C J. "Reorganisatie hoger onderwijs." [Reorganization of higher education]. Tijdschrift voor sociale geneeskunde vol. 27,24 (1949): 447-50.
BRENKMAN CJ. Reorganisatie hoger onderwijs. [Reorganization of higher education]. Tijdschr Soc Geneeskd. 1949 Dec 09;27(24):447-50. Dutch. PMID: 15403687.
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Ultrafiltration and concentration by ultrafiltration by a centrifuge method.

The Biochemical journal

Brinkman R, Van Steinfoorn J.
PMID: 16746185
Biochem J. 1936 Aug;30(8):1523-5. doi: 10.1042/bj0301523.

No abstract available.

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Brinkman R, Van Steinfoorn J. Ultrafiltration and concentration by ultrafiltration by a centrifuge method. Biochem J. 1936;30(8):1523-5doi: 10.1042/bj0301523.
Brinkman, R., & Van Steinfoorn, J. (1936). Ultrafiltration and concentration by ultrafiltration by a centrifuge method. The Biochemical journal, 30(8), 1523-5. https://doi.org/10.1042/bj0301523
Brinkman, R, and Van Steinfoorn, J. "Ultrafiltration and concentration by ultrafiltration by a centrifuge method." The Biochemical journal vol. 30,8 (1936): 1523-5. doi: https://doi.org/10.1042/bj0301523
Brinkman R, Van Steinfoorn J. Ultrafiltration and concentration by ultrafiltration by a centrifuge method. Biochem J. 1936 Aug;30(8):1523-5. doi: 10.1042/bj0301523. PMID: 16746185; PMCID: PMC1263212.
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Pathway-GPS and SIGORA: identifying relevant pathways based on the over-representation of their gene-pair signatures.

PeerJ

Foroushani AB, Brinkman FS, Lynn DJ.
PMID: 24432194
PeerJ. 2013 Dec 19;1:e229. doi: 10.7717/peerj.229. eCollection 2013 Dec 19.

Motivation. Predominant pathway analysis approaches treat pathways as collections of individual genes and consider all pathway members as equally informative. As a result, at times spurious and misleading pathways are inappropriately identified as statistically significant, solely due to components...

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Foroushani AB, Brinkman FS, Lynn DJ. Pathway-GPS and SIGORA: identifying relevant pathways based on the over-representation of their gene-pair signatures. PeerJ. 2013;1:e229doi: 10.7717/peerj.229.
Foroushani, A. B., Brinkman, F. S., & Lynn, D. J. (2013). Pathway-GPS and SIGORA: identifying relevant pathways based on the over-representation of their gene-pair signatures. PeerJ, 1e229. https://doi.org/10.7717/peerj.229
Foroushani, Amir B K, et al. "Pathway-GPS and SIGORA: identifying relevant pathways based on the over-representation of their gene-pair signatures." PeerJ vol. 1 (2013): e229. doi: https://doi.org/10.7717/peerj.229
Foroushani AB, Brinkman FS, Lynn DJ. Pathway-GPS and SIGORA: identifying relevant pathways based on the over-representation of their gene-pair signatures. PeerJ. 2013 Dec 19;1:e229. doi: 10.7717/peerj.229. eCollection 2013 Dec 19. PMID: 24432194; PMCID: PMC3883547.
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GenePattern flow cytometry suite.

Source code for biology and medicine

Spidlen J, Barsky A, Breuer K, Carr P, Nazaire MD, Hill BA, Qian Y, Liefeld T, Reich M, Mesirov JP, Wilkinson P, Scheuermann RH, Sekaly RP, Brinkman RR.
PMID: 23822732
Source Code Biol Med. 2013 Jul 03;8(1):14. doi: 10.1186/1751-0473-8-14.

BACKGROUND: Traditional flow cytometry data analysis is largely based on interactive and time consuming analysis of series two dimensional representations of up to 20 dimensional data. Recent technological advances have increased the amount of data generated by the technology...

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Spidlen J, Barsky A, Breuer K, et al. GenePattern flow cytometry suite. Source Code Biol Med. 2013;8(1):14doi: 10.1186/1751-0473-8-14.
Spidlen, J., Barsky, A., Breuer, K., Carr, P., Nazaire, M. D., Hill, B. A., Qian, Y., Liefeld, T., Reich, M., Mesirov, J. P., Wilkinson, P., Scheuermann, R. H., Sekaly, R. P., & Brinkman, R. R. (2013). GenePattern flow cytometry suite. Source code for biology and medicine, 8(1), 14. https://doi.org/10.1186/1751-0473-8-14
Spidlen, Josef, et al. "GenePattern flow cytometry suite." Source code for biology and medicine vol. 8,1 (2013): 14. doi: https://doi.org/10.1186/1751-0473-8-14
Spidlen J, Barsky A, Breuer K, Carr P, Nazaire MD, Hill BA, Qian Y, Liefeld T, Reich M, Mesirov JP, Wilkinson P, Scheuermann RH, Sekaly RP, Brinkman RR. GenePattern flow cytometry suite. Source Code Biol Med. 2013 Jul 03;8(1):14. doi: 10.1186/1751-0473-8-14. PMID: 23822732; PMCID: PMC3717030.
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Bioproduct Potential of Outdoor Cultures of .

Frontiers in bioengineering and biotechnology

Velu C, Cirés S, Brinkman DL, Heimann K.
PMID: 32117931
Front Bioeng Biotechnol. 2020 Feb 11;8:51. doi: 10.3389/fbioe.2020.00051. eCollection 2020.

Rising CO

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Velu C, Cirés S, Brinkman DL, et al. Bioproduct Potential of Outdoor Cultures of . Front Bioeng Biotechnol. 2020;8:51doi: 10.3389/fbioe.2020.00051.
Velu, C., Cirés, S., Brinkman, D. L., & Heimann, K. (2020). Bioproduct Potential of Outdoor Cultures of . Frontiers in bioengineering and biotechnology, 851. https://doi.org/10.3389/fbioe.2020.00051
Velu, Chinnathambi, et al. "Bioproduct Potential of Outdoor Cultures of ." Frontiers in bioengineering and biotechnology vol. 8 (2020): 51. doi: https://doi.org/10.3389/fbioe.2020.00051
Velu C, Cirés S, Brinkman DL, Heimann K. Bioproduct Potential of Outdoor Cultures of . Front Bioeng Biotechnol. 2020 Feb 11;8:51. doi: 10.3389/fbioe.2020.00051. eCollection 2020. PMID: 32117931; PMCID: PMC7026013.
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Occurrence of T-cell and NK-cell subsets with less well-recognized phenotypes in peripheral blood submitted for routine flow cytometry analysis.

Cytometry. Part B, Clinical cytometry

Hill AJ, Zhang C, Kusakabe M, Gowing K, Wang X, Brinkman RR, Weng AP, Craig JW.
PMID: 32222062
Cytometry B Clin Cytom. 2021 Mar;100(2):235-239. doi: 10.1002/cyto.b.21876. Epub 2020 Mar 28.

No abstract available.

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Hill AJ, Zhang C, Kusakabe M, et al. Occurrence of T-cell and NK-cell subsets with less well-recognized phenotypes in peripheral blood submitted for routine flow cytometry analysis. Cytometry B Clin Cytom. 2020;100(2):235-239doi: 10.1002/cyto.b.21876.
Hill, A. J., Zhang, C., Kusakabe, M., Gowing, K., Wang, X., Brinkman, R. R., Weng, A. P., & Craig, J. W. (2021). Occurrence of T-cell and NK-cell subsets with less well-recognized phenotypes in peripheral blood submitted for routine flow cytometry analysis. Cytometry. Part B, Clinical cytometry, 100(2), 235-239. https://doi.org/10.1002/cyto.b.21876
Hill, Ainsleigh J, et al. "Occurrence of T-cell and NK-cell subsets with less well-recognized phenotypes in peripheral blood submitted for routine flow cytometry analysis." Cytometry. Part B, Clinical cytometry vol. 100,2 (2021): 235-239. doi: https://doi.org/10.1002/cyto.b.21876
Hill AJ, Zhang C, Kusakabe M, Gowing K, Wang X, Brinkman RR, Weng AP, Craig JW. Occurrence of T-cell and NK-cell subsets with less well-recognized phenotypes in peripheral blood submitted for routine flow cytometry analysis. Cytometry B Clin Cytom. 2021 Mar;100(2):235-239. doi: 10.1002/cyto.b.21876. Epub 2020 Mar 28. PMID: 32222062.
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Probing failure susceptibilities of earthquake faults using small-quake tidal correlations.

Nature communications

Brinkman BA, LeBlanc M, Ben-Zion Y, Uhl JT, Dahmen KA.
PMID: 25625338
Nat Commun. 2015 Jan 27;6:6157. doi: 10.1038/ncomms7157.

Mitigating the devastating economic and humanitarian impact of large earthquakes requires signals for forecasting seismic events. Daily tide stresses were previously thought to be insufficient for use as such a signal. Recently, however, they have been found to correlate...

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Brinkman BA, LeBlanc M, Ben-Zion Y, et al. Probing failure susceptibilities of earthquake faults using small-quake tidal correlations. Nat Commun. 2015;6:6157doi: 10.1038/ncomms7157.
Brinkman, B. A., LeBlanc, M., Ben-Zion, Y., Uhl, J. T., & Dahmen, K. A. (2015). Probing failure susceptibilities of earthquake faults using small-quake tidal correlations. Nature communications, 66157. https://doi.org/10.1038/ncomms7157
Brinkman, Braden A W, et al. "Probing failure susceptibilities of earthquake faults using small-quake tidal correlations." Nature communications vol. 6 (2015): 6157. doi: https://doi.org/10.1038/ncomms7157
Brinkman BA, LeBlanc M, Ben-Zion Y, Uhl JT, Dahmen KA. Probing failure susceptibilities of earthquake faults using small-quake tidal correlations. Nat Commun. 2015 Jan 27;6:6157. doi: 10.1038/ncomms7157. PMID: 25625338.
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Showing 97 to 108 of 114 entries