Добірка наукової літератури з теми "Large-Scale Screening"
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Статті в журналах з теми "Large-Scale Screening"
Hero, Alfred, and Bala Rajaratnam. "Large-Scale Correlation Screening." Journal of the American Statistical Association 106, no. 496 (December 2011): 1540–52. http://dx.doi.org/10.1198/jasa.2011.tm11015.
Повний текст джерелаFigeys, Daniel. "Large-scale screening on small scale." Trends in Biotechnology 18, no. 9 (September 2000): 363–64. http://dx.doi.org/10.1016/s0167-7799(00)01479-7.
Повний текст джерелаJacq, Nicolas, Vincent Breton, Hsin-Yen Chen, Li-Yung Ho, Martin Hofmann, Vinod Kasam, Hurng-Chun Lee, et al. "Virtual screening on large scale grids." Parallel Computing 33, no. 4-5 (May 2007): 289–301. http://dx.doi.org/10.1016/j.parco.2007.02.010.
Повний текст джерелаMason, Jonathan S. "Computational screening: large-scale drug discovery." Trends in Biotechnology 17 (January 1999): 34–36. http://dx.doi.org/10.1016/s0167-5699(99)01478-4.
Повний текст джерелаBanerjee, Trambak, Gourab Mukherjee, and Peter Radchenko. "Feature screening in large scale cluster analysis." Journal of Multivariate Analysis 161 (September 2017): 191–212. http://dx.doi.org/10.1016/j.jmva.2017.08.001.
Повний текст джерелаBaart de la Faille, L. M. B. "Validity of Large Scale Standardised Behavioural Screening." Acta Oto-Laryngologica 111, sup482 (January 1991): 94–102. http://dx.doi.org/10.3109/00016489109128031.
Повний текст джерелаBeutler, Ernest, and Terri Gelbart. "Large-Scale Screening forHFEMutations: Methodology and Cost." Genetic Testing 4, no. 2 (June 19, 2000): 131–42. http://dx.doi.org/10.1089/10906570050114830.
Повний текст джерелаEkelund, G., U. Carlsson, and L. Janzon. "The feasibility of large scale population screening." British Journal of Surgery 72, S1 (September 1985): s71—s72. http://dx.doi.org/10.1002/bjs.1800721338.
Повний текст джерелаAZURI, JOSEPH, DEBORAH ELSTEIN, AMNON LAHAD, AYALA ABRAHAMOV, IRITH HADAS-HALPERN, and ARI ZIMRAN. "Asymptomatic Gaucher Disease Implications for Large-Scale Screening." Genetic Testing 2, no. 4 (January 1998): 297–99. http://dx.doi.org/10.1089/gte.1998.2.297.
Повний текст джерелаCristea, Ioana Alina, and Florian Naudet. "Is large-scale population screening coming to psychiatry?" Lancet Digital Health 2, no. 5 (May 2020): e210-e211. http://dx.doi.org/10.1016/s2589-7500(20)30066-2.
Повний текст джерелаДисертації з теми "Large-Scale Screening"
García, Martín Rafael Adrián, and Sánchez José Manuel Gaspar. "Screening for important factors in large-scale simulation models: some industrial experiments." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11484.
Повний текст джерелаZein, Aghaji Mohammad. "Large Scale Computational Screening of Metal Organic Framework Materials for Natural Gas Purification." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36226.
Повний текст джерелаFalk, Jessica Julia [Verfasser]. "Large-scale screening of blood donors for exceptional antibodies against human cytomegalovirus / Jessica Julia Falk." Ulm : Universität Ulm, 2019. http://d-nb.info/1184429855/34.
Повний текст джерелаKlisa, Christiane. "Identification and characterisation of novel zebrafish brain development mutants obtained by large scale forward mutagenesis screening." Doctoral thesis, [S.l.] : [s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=970092202.
Повний текст джерелаFaust, Doerte [Verfasser]. "Identification of proteins controlling AQP2 translocation by large-scale siRNA screening of the mouse kinome / Doerte Faust." Berlin : Freie Universität Berlin, 2014. http://d-nb.info/1054328897/34.
Повний текст джерелаRose, France. "Analysis of phenotypic and spatial cellular heterogeneity from large scale microscopy data." Electronic Thesis or Diss., Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLEE057.
Повний текст джерелаRobotics and automated fluorescence microscopes have promoted high-content cell-based screenings: fluorescent probes targeting DNA or other major components are used to image hundreds of thousands of cells under many different conditions. Cell-based assays have proven to be efficient at discovering first-in-class therapeutic drugs, i.e. drugs acting on a new target. They allow to detect promising molecules and to profile them, by associating functional annotations to them, like their molecular target or mechanism of action (MOA). I studied heterogeneity of cell responses at different levels and how this phenotypic heterogeneity can be leveraged to better profile drugs. The first level is about studying heterogeneity between patients. We showed that using different patient-derived cell lines increases the chance of predicting the correct molecular target of the tested drug. The second level corresponds to the diversity of cell responses within the same cell line under the same treatment. Appropriate clustering approaches can be used to unravel this complexity and group cells into subpopulations. The proportions of each subpopulation per treatment allow to predict the correct MOA. The third level looks at how the cell subpopulations are spatially organized. I found that neighboring cells influence each others, and display a similar phenotype more frequently than expected at random. These results assessed across a hundred of treatments, show that even genetically identical cells are not all alike and independent, but create spatial heterogeneity via cell lineage and interaction. Using spatial information as well as phenotypic heterogeneity with graph kernel methods improves the MOA classification under some conditions. Alongside, as spatial analysis could be applied on any cell microscopy image, I developed a Python analysis package, pySpacell, to study spatial randomness from quantitative and qualitative cell markers
Aaramaa, S. (Sanja). "Developing a requirements architecting method for the requirement screening process in the Very Large-Scale Requirements Engineering Context." Doctoral thesis, Oulun yliopisto, 2017. http://urn.fi/urn:isbn:9789526217079.
Повний текст джерелаTiivistelmä Tutkimus toteutettiin laajamittaisen vaatimusmäärittelyprosessin kontekstissa keskittyen vaatimusten seulontaprosessiin. Vaatimusten seulontaprosessi määritellään tuotekehityksen alkuvaiheen prosessiksi, jossa käsitellään jatkuvana vuona tulevia kehityspyyntöjä. Vaatimusten seulontaprosessissa pyritään tunnistamaan tehokkaasti lupaavimmat pyynnöt jatkoanalyysiä, tuotekehitystä ja toteutusta ajatellen sekä suodattamaan pois niin aikaisessa vaiheessa, kun mahdollista ne pyynnöt, joilla ei ole arvontuotto-odotuksia. Tutkimuksen tavoite oli ymmärtää haasteita, jotka liittyvät vaatimusten seulontaprosessiin sekä kehittää ratkaisuja näihin haasteisiin. Tutkimuksessa käytettiin laadullisen tutkimuksen menetelmiä. Kokonaisuutena tutkimusprosessi noudattaa toimintatutkimuksen periaatteita siten, että jokainen sykli tai sen vaihe sisältää yhden tai useamman itsenäisesti määritellyn tapaustutkimuksen suunnittelun ja läpiviennin. Valitut tutkimusmenetelmät soveltuvat hyvin tilanteisiin, joissa tutkimuskohteina ovat reaalimaailman ilmiöt niiden luonnollisissa ympäristöissä havainnoituina. Tutkimusaineisto kerättiin kahdesta informaatio- ja kommunikaatioteknologia-alan kohdeorganisaatiosta. Väitöskirjaan sisällytettyihin julkaisuihin I-V on analysoitu 45 haastattelun aineisto. Näiden lisäksi väitöskirjassa kuvatun pitkäkestoisen toimintatutkimuksen aikana hyödynnettiin 26 haastattelun ja 132 työpajan aineistoa kehitettäessä ratkaisuja vaatimusten seulontaprosessin haasteisiin. Vaatimusten seulontaprosessi on laajamittaisen vaatimusmäärittelyprosessin teollinen toteutus. Tutkimuksessa tunnistettiin useita merkittäviä haasteta, joita eri sidosryhmillä on liittyen vaatimusten seulontaprosessiin ja päätöksentekoon laajamittaisessa vaatimusmäärittelyprosessissa. Vaatimusten suuri määrä, päätöksentekoon tarvittavan tiedon puute ja käytössä olevien työkalujen soveltumattomuus ovat esimerkkejä tunnistetuista haasteista. Ratkaisuna haasteisiin kehitettiin vaatimusten seulonta- ja analyysimenetelmä. Kehitetty menetelmä sisältää dynaamisen vaatimusdokumentin, jonka avulla voidaan kerätä kehityspyyntöjen tietosisältö jäsennellysti, dokumentoida ja kommunikoida vaatimukset sekä muodostaa niistä tuotteisiin toteutettavia ominaisuuksia ottaen huomioon eri sidosryhmien tarpeet. Kehitetty menetelmä on koestettu, validoitu ja soveltuvin osin otettu käyttöön teollisuudessa
Niranjane, Ajay Pundaiikrao, and ajay niranjane@gmail com. "Screening diverse cellulase enzymes from the white rot fungus Phlebia gigantea for high activity and large scale applications." RMIT University. Applied Sciences, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080513.150257.
Повний текст джерелаZhang, Hanshuo. "Large-scale identification of functional genes regulating cancer cell migration and metastasis using the self-assembled cell microarray." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49066.
Повний текст джерелаChen, Peng-yu, and 陳芃妤. "Large Scale Screening of Plasticizers by Ambient Mass Spectrometry." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/96cv84.
Повний текст джерела國立中山大學
化學系研究所
103
Ambient mass spectrometry (AMS) is known for its unique feature to perform analysis without sample pretreatment, and has been used for direct, rapid, and real-time detection of chemical compounds. Techniques such as DESI, DART, and ELDI have been demonstrated to be useful for rapidly characterizing chemical and biological compounds. In this study, we have developed an ambient mass spectrometric technique known as thermal desorption electrospray ionization mass spectrometry (TD-ESI/MS). A direct metallic sampling probe was used to collect analytes from sample surfaces regardless of sample size or shape. Analytes were thermally desorbed, post-ionized by reacting with charged solvent species in an electrospray plume, and the ions were subsequently detected by the mass analyzer attached to the ion source. .The residual sample on the metallic probe is rapidly removed by burning the probe with a flame from a torch. The time required to complete an analysis was less than 15 seconds. In the first study, TD-ESI/MS was used to screen phthalates [ Dibutyl Phthalate (DBP), Dimethyl Phthalate (DMP), Di-octyl Phthalate (DOP), Di(2-ethylhexyl)Phthalate (DEHP), Di-iso-nonyl Phthalate (DINP), Benzyl Butyl Phthalate (BBP), Di-isodecyl Phthalate (DIDP)and Diethyl Phthalate (DEP) ] on the objects in two kindergartens. Approximately one thousand samples were collected, analyzed and the results were reported within two days. Sample collection was completed in approximately 3hrs, TD-ESI/MS analysis was completed in 10 hrs, and data organization and report writing took another 5 hrs. The results indicate that approximately 30% and 20% of the objects in the two kindergartens contain higher level of phthalates. The success in screening phthalates in all the objects found in the two kindergartens suggests that performing large scale screening of phthalates in the living environment is possible. In the second study, liquid-phase microextraction (LPME) was coupled with an ambient ionization technique, known as thermal desorption electrospray ionization (TD-ESI) for rapid screening of veterinary drug residues in foods. The ambient TD-ESI ion source consisted of (1)a metal loop suspending 5 μL of organic solvent was used for analyte extraction in liquids, (2)after equilibrium among analytes, sample solution, and extraction solvent was reached, a heating oven for desorbing analytes on the LPME probe.Preliminary results of LPME/TD-ESI/MS/ showed that reproducibility tests (n=5) for 10 µg/mL of sulfonamides(sulfamethazine, sulfamethoxazole) and β-agonists (clenbuterol, salbutamol, terbutaline) were less than 7.6 % and 10.2 %, respectively. The sensitivities of sulfamethazine(m/z 279) and clenbuterol(m/z 277)improved,; where detection limits could be decreased as low as 1.0 µg/mL, and 0.1 µg/mL while using the LPME fiber as a sampling probe. Furthermore, the capacity of LPME/TD-ESI/MS for quantitative analysis was evaluated using milk, honey and pork blood spiked with spiked veterinary drugs. Excellent correlations of determination were achieved for analytes with R2values greater than 0.997、0.998 and 0.972, respectively.
Книги з теми "Large-Scale Screening"
Croswell, Jennifer M., Russell P. Harris, and Barnett S. Kramer. Cancer Screening. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190238667.003.0063.
Повний текст джерелаCasey, Patricia. How common is adjustment disorder? (DRAFT). Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198786214.003.0002.
Повний текст джерелаReinecke, Holger. Epidemiology and global burden of peripheral arterial disease and aortic aneurysms. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0068.
Повний текст джерелаЧастини книг з теми "Large-Scale Screening"
Zinterhof, Peter. "High-Throughput-Screening of Medical Image Data on Heterogeneous Clusters." In Large-Scale Scientific Computing, 368–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29843-1_42.
Повний текст джерелаJannink, Gérard. "Screening in Electrolytes and in Polymer Solutions : The Charge Structure Function." In Large-Scale Molecular Systems, 265–73. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-5940-1_15.
Повний текст джерелаTabár, L. "Large Scale Screening Programs in Breast Cancer Prevention." In Breast Cancer: Scientific and Clinical Progress, 349–55. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1753-1_24.
Повний текст джерелаCavanaugh, Paul F., and Kenneth C. Mattes. "Large Scale Anticancer Drug Screening at Sterling Drug Inc." In Cytotoxic Anticancer Drugs: Models and Concepts for Drug Discovery and Development, 197–204. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3492-1_10.
Повний текст джерелаSid, Karima, and Mohamed Batouche. "Ensemble Learning for Large Scale Virtual Screening on Apache Spark." In Computational Intelligence and Its Applications, 244–56. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89743-1_22.
Повний текст джерелаSchwarzinger, Stephan. "Large-Scale Screening of Food Products for Quality and Authenticity." In Modern Magnetic Resonance, 1–23. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-28275-6_91-1.
Повний текст джерелаSchwarzinger, Stephan. "Large-Scale Screening of Food Products for Quality and Authenticity." In Modern Magnetic Resonance, 1795–817. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-28388-3_91.
Повний текст джерелаChabrier-Roselló, Yeissa, Anuj Kumar, and Damian J. Krysan. "Cool Tools 3: Large-Scale Genetic Interaction Screening in Candida albicans." In Candida and Candidiasis, 497–500. Washington, DC, USA: ASM Press, 2014. http://dx.doi.org/10.1128/9781555817176.ch32.
Повний текст джерелаChaudhary, Sarika, Sukanya Saha, Sobrahani Thamminana, and Robert M. Stroud. "Small-Scale Screening to Large-Scale Over-Expression of Human Membrane Proteins for Structural Studies." In Methods in Molecular Biology, 203–21. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3637-3_13.
Повний текст джерелаMishra, Krishna Manjari, and Marcus Gallagher. "A Modified Screening Estimation of Distribution Algorithm for Large-Scale Continuous Optimization." In Lecture Notes in Computer Science, 119–30. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13563-2_11.
Повний текст джерелаТези доповідей конференцій з теми "Large-Scale Screening"
Heitmann, Nils, Philipp Kindt, Thomas Rosner, Kapil Sikka, Amit Chirom, Dinesh Kalyanasundaram, and Samarjit Chakraborty. "Sound4All: Towards affordable large-scale hearing screening." In 2017 12th International Conference on Design & Technology of Integrated Systems In Nanoscale Era (DTIS). IEEE, 2017. http://dx.doi.org/10.1109/dtis.2017.7930170.
Повний текст джерелаChang, Kuo-Hao, Ming-Kai Li, and Hong Wan. "Combining strong and screening designs for large-scale simulation optimization." In 2011 Winter Simulation Conference - (WSC 2011). IEEE, 2011. http://dx.doi.org/10.1109/wsc.2011.6148101.
Повний текст джерелаYuan, Chengda, Ruisheng Zhang, Ying Zhang, and Zhili Zhao. "An Extensible Database Management System for Large-Scale Virtual Screening." In 2011 Sixth Chinagrid Annual Conference (ChinaGrid). IEEE, 2011. http://dx.doi.org/10.1109/chinagrid.2011.32.
Повний текст джерелаMeng, Peng, Guopeng Zhou, and Juan Meng. "Fast Identification of Encrypted Traffic via Large-Scale Sparse Screening." In 2017 Fifth International Conference on Advanced Cloud and Big Data (CBD). IEEE, 2017. http://dx.doi.org/10.1109/cbd.2017.54.
Повний текст джерелаJiazao Lin, Zhili Zhao, Keyin Ruan, Zhen Dong, Yubo Deng, Lian Li, and Xining Li. "A Comprehensive Task Management system for large-scale Virtual Screening applications." In 2010 2nd International Conference on Information Science and Engineering (ICISE). IEEE, 2010. http://dx.doi.org/10.1109/icise.2010.5691711.
Повний текст джерелаBehan, F., F. Iorio, E. Stronach, C. Beaver, R. Moita Santos, J. Saez-Rodriguez, K. Yusa, and M. Garnett. "SPOT-012 Large-scale CRISPR screening to identify actionable cancer drug targets." In Abstracts of the 25th Biennial Congress of the European Association for Cancer Research, Amsterdam, The Netherlands, 30 June – 3 July 2018. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/esmoopen-2018-eacr25.45.
Повний текст джерелаZhao, Jing, Ruisheng Zhang, Zhili Zhao, Dianwei Chen, and Lujie Hou. "Hadoop MapReduce Framework to Implement Molecular Docking of Large-Scale Virtual Screening." In 2012 IEEE Asia-Pacific Services Computing Conference (APSCC). IEEE, 2012. http://dx.doi.org/10.1109/apscc.2012.67.
Повний текст джерелаChen, JiuQiang, RuiSheng Zhang, ShiLin Chen, LiFen Li, Ying Zhang, ChengDa Yuan, and Lian Li. "A Data Management System for Pre-docking in Large-Scale Virtual Screening." In 2010 Fifth Chinagrid Annual Conference (ChinaGrid). IEEE, 2010. http://dx.doi.org/10.1109/chinagrid.2010.40.
Повний текст джерелаCamargo, Alex, and Vinicius Seus. "A proposal for distributed processing for large scale virtual screening using Python." In MOL2NET 2018, International Conference on Multidisciplinary Sciences, 4th edition. Basel, Switzerland: MDPI, 2018. http://dx.doi.org/10.3390/mol2net-04-05897.
Повний текст джерелаRuan, Keyin, Ruisheng Zhang, Fan Ding, Lian Li, Zhili Zhao, and Jiazao Lin. "A User-Friendly Task Editor Environment for Large-scale Virtual Screening Application." In 2010 9th International Conference on Grid and Cloud Computing (GCC 2010). IEEE, 2010. http://dx.doi.org/10.1109/gcc.2010.30.
Повний текст джерелаЗвіти організацій з теми "Large-Scale Screening"
Ouyang, Lizhi. Large Scale Screening of Low Cost Ferritic Steel Designs For Advanced Ultra Supercritical Boiler Using First Principles Methods. Office of Scientific and Technical Information (OSTI), November 2016. http://dx.doi.org/10.2172/1417484.
Повний текст джерелаRankin, Nicole, Deborah McGregor, Candice Donnelly, Bethany Van Dort, Richard De Abreu Lourenco, Anne Cust, and Emily Stone. Lung cancer screening using low-dose computed tomography for high risk populations: Investigating effectiveness and screening program implementation considerations: An Evidence Check rapid review brokered by the Sax Institute (www.saxinstitute.org.au) for the Cancer Institute NSW. The Sax Institute, October 2019. http://dx.doi.org/10.57022/clzt5093.
Повний текст джерелаCytryn, Eddie, Mark R. Liles, and Omer Frenkel. Mining multidrug-resistant desert soil bacteria for biocontrol activity and biologically-active compounds. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7598174.bard.
Повний текст джерела