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Статті в журналах з теми "Analysis of biological data"
Dwivedi, Vivek Dhar, Indra Prasad Tripathi, Aman Chandra Kaushik, Shiv Bharadwaj, and Sarad Kumar Mishra. "Biological Data Analysis Program (BDAP): a multitasking biological sequence analysis program." Neural Computing and Applications 30, no. 5 (December 17, 2016): 1493–501. http://dx.doi.org/10.1007/s00521-016-2772-z.
Повний текст джерелаSrivastava, Chandan. "Biological Data Analysis: Error and Uncertainty." World Journal of Computer Application and Technology 1, no. 3 (November 2013): 67–74. http://dx.doi.org/10.13189/wjcat.2013.010302.
Повний текст джерелаEliceiri, K. W., C. Rueden, W. A. Mohler, W. L. Hibbard, and J. G. White. "Analysis of Multidimensional Biological Image Data." BioTechniques 33, no. 6 (December 2002): 1268–73. http://dx.doi.org/10.2144/02336bt01.
Повний текст джерелаGrewal, Rumdeep Kaur, and Sampa Das. "Microarray data analysis: Gaining biological insights." Journal of Biomedical Science and Engineering 06, no. 10 (2013): 996–1005. http://dx.doi.org/10.4236/jbise.2013.610124.
Повний текст джерелаEl-Bayomi, Kh M., El A. Rady, M. S. El-Tarabany, and Fatma D. Mohammed. "Statistical Analysis of Biological Survival Data." Zagazig Veterinary Journal 42, no. 1 (March 1, 2014): 129–39. http://dx.doi.org/10.21608/zvjz.2014.59478.
Повний текст джерелаFry, J. C. "Biological Data Analysis: A Practical Approach." Biometrics 50, no. 1 (March 1994): 318. http://dx.doi.org/10.2307/2533236.
Повний текст джерелаJohnson, Michael L. "Review of Fry, Biological Data Analysis." Biophysical Journal 67, no. 2 (August 1994): 937. http://dx.doi.org/10.1016/s0006-3495(94)80557-0.
Повний текст джерелаSung, Wing-Kin. "Pan-omics analysis of biological data." Methods 102 (June 2016): 1–2. http://dx.doi.org/10.1016/j.ymeth.2016.05.004.
Повний текст джерелаStansfield, William D., and Matthew A. Carlton. "Bayesian Statistics for Biological Data: Pedigree Analysis." American Biology Teacher 66, no. 3 (March 1, 2004): 177–82. http://dx.doi.org/10.2307/4451651.
Повний текст джерелаTopaz, Chad M., Lori Ziegelmeier, and Tom Halverson. "Topological Data Analysis of Biological Aggregation Models." PLOS ONE 10, no. 5 (May 13, 2015): e0126383. http://dx.doi.org/10.1371/journal.pone.0126383.
Повний текст джерелаДисертації з теми "Analysis of biological data"
Droop, Alastair Philip. "Correlation Analysis of Multivariate Biological Data." Thesis, University of York, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.507622.
Повний текст джерелаMcCormick, Paul Stephen. "Statistical analysis of biological expression data." Thesis, University of Cambridge, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.613819.
Повний текст джерелаHasegawa, Takanori. "Reconstructing Biological Systems Incorporating Multi-Source Biological Data via Data Assimilation Techniques." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/195985.
Повний текст джерелаWaterworth, Alan Richard. "Data analysis techniques of measured biological impedance." Thesis, University of Sheffield, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340146.
Повний текст джерелаBecker, Katinka [Verfasser]. "Logical Analysis of Biological Data / Katinka Becker." Berlin : Freie Universität Berlin, 2021. http://d-nb.info/1241541779/34.
Повний текст джерелаREHMAN, HAFEEZ UR. "Integration and Analysis of Heterogeneous Biological Data." Doctoral thesis, Politecnico di Torino, 2014. http://hdl.handle.net/11583/2537092.
Повний текст джерелаLi, Yehua. "Topics in functional data analysis with biological applications." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1867.
Повний текст джерелаChen, Li. "Integrative Modeling and Analysis of High-throughput Biological Data." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/30192.
Повний текст джерелаPh. D.
Causey, Jason L. "Studying Low Complexity Structures in Bioinformatics Data Analysis of Biological and Biomedical Data." Thesis, University of Arkansas at Little Rock, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10750808.
Повний текст джерелаBiological, biomedical, and radiological data tend to be large, complex, and noisy. Gene expression studies contain expression levels for thousands of genes and hundreds or thousands of patients. Chest Computed Tomography images used for diagnosing lung cancer consist of hundreds of 2-D image ”slices”, each containing hundreds of thousands of pixels. Beneath the size and apparent complexity of many of these data are simple and sparse structures. These low complexity structures can be leveraged into new approaches to biological, biomedical, and radiological data analyses. Two examples are presented here. First, a new framework SparRec (Sparse Recovery) for imputation of GWAS data, based on a matrix completion (MC) model taking advantage of the low-rank and low number of co-clusters of GWAS matrices. SparRec is flexible enough to impute meta-analyses with multiple cohorts genotyped on different sets of SNPs, even without a reference panel. Compared with Mendel-Impute, another MC method, our low-rank based method achieves similar accuracy and efficiency even with up to 90% missing data; our co-clustering based method has advantages in running time. MC methods are shown to have advantages over statistics-based methods, including Beagle and fastPhase. Second, we demonstrate NoduleX, a method for predicting lung nodule malignancy from chest Computed Tomography (CT) data, based on deep convolutional neural networks. For training and validation, we analyze >1000 lung nodules in images from the LIDC/IDRI cohort and compare our results with classifications provided by four experienced thoracic radiologists who participated in the LIDC project. NoduleX achieves high accuracy for nodule malignancy classification, with an AUC of up to 0.99, commensurate with the radiologists’ analysis. Whether they are leveraged directly or extracted using mathematical optimization and machine learning techniques, low complexity structures provide researchers with powerful tools for taming complex data.
Zandegiacomo, Cella Alice. "Multiplex network analysis with application to biological high-throughput data." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10495/.
Повний текст джерелаКниги з теми "Analysis of biological data"
Maglaveras, Nicos, Ioanna Chouvarda, Vassilis Koutkias, and Rüdiger Brause, eds. Biological and Medical Data Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11946465.
Повний текст джерелаOliveira, José Luís, Víctor Maojo, Fernando Martín-Sánchez, and António Sousa Pereira, eds. Biological and Medical Data Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11573067.
Повний текст джерелаBarreiro, José María, Fernando Martín-Sánchez, Víctor Maojo, and Ferran Sanz, eds. Biological and Medical Data Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b104033.
Повний текст джерелаDolph, Schluter, ed. The analysis of biological data. Greenwood Village, Colo: Roberts and Co. Publishers, 2009.
Знайти повний текст джерелаC, Fry John, ed. Biological data analysis: A practical approach. Oxford: IRL Press at Oxford University Press, 1993.
Знайти повний текст джерелаGlasbey, C. A. Image analysis for the biological sciences. Chichester: J. Wiley, 1995.
Знайти повний текст джерелаAnalysis of infectious disease data. London: Chapman and Hall, 1989.
Знайти повний текст джерелаR, Margules C., Austin M. P, and CSIRO (Australia), eds. Nature conservation: Cost effective biological surveys and data analysis. [Canberra]: CSIRO Australia, 1991.
Знайти повний текст джерелаOphir, Frieder, and Martino Robert L, eds. High performance computational methods for biological sequence analysis. Boston: Kluwer Academic Publishers, 1996.
Знайти повний текст джерелаPodani, János. Introduction to the exploration of multivariate biological data. Leiden: Backhuys Publishers, 2000.
Знайти повний текст джерелаЧастини книг з теми "Analysis of biological data"
Kim, Ju Han. "Biological Network Analysis." In Genome Data Analysis, 233–46. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-1942-6_13.
Повний текст джерелаRieger, Josef, Karel Kosar, Lenka Lhotska, and Vladimir Krajca. "EEG Data and Data Analysis Visualization." In Biological and Medical Data Analysis, 39–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30547-7_5.
Повний текст джерелаKim, Ju Han. "Gene Ontology and Biological Pathway-Based Analysis." In Genome Data Analysis, 121–34. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-1942-6_7.
Повний текст джерелаBarah, Pankaj, Dhruba Kumar Bhattacharyya, and Jugal Kumar Kalita. "Information Flow in Biological Systems." In Gene Expression Data Analysis, 27–38. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9780429322655-2.
Повний текст джерелаO'Hara, Timothy D., Thomas A. Schlacher, Ashley A. Rowden, and Derek P. Tittensor. "Data Analysis Considerations." In Biological Sampling in the Deep Sea, 386–403. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118332535.ch17.
Повний текст джерелаIno, Fumihiko, Katsunori Matsuo, Yasuharu Mizutani, and Kenichi Hagihara. "Minimizing Data Size for Efficient Data Reuse in Grid-Enabled Medical Applications." In Biological and Medical Data Analysis, 195–206. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11946465_18.
Повний текст джерелаPotamias, George. "Knowledgeable Clustering of Microarray Data." In Biological and Medical Data Analysis, 491–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30547-7_49.
Повний текст джерелаPolaillon, Géraldine, Laure Vescovo, Magali Michaut, and Jean-Christophe Aude. "Mining Biological Data Using Pyramids." In Selected Contributions in Data Analysis and Classification, 397–408. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73560-1_37.
Повний текст джерелаHernández, Juan A., Martha L. Mora, Emanuele Schiavi, and Pablo Toharia. "RF Inhomogeneity Correction Algorithm in Magnetic Resonance Imaging." In Biological and Medical Data Analysis, 1–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30547-7_1.
Повний текст джерелаDiez, Raquel Montes, Juan M. Marin, and David Rios Insua. "Bayesian Prediction of Down Syndrome Based on Maternal Age and Four Serum Markers." In Biological and Medical Data Analysis, 85–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30547-7_10.
Повний текст джерелаТези доповідей конференцій з теми "Analysis of biological data"
Soetaert, Karline, Dick van Oevelen, Theodore E. Simos, George Psihoyios, Ch Tsitouras, and Zacharias Anastassi. "Modelling Marine Biological and Biogeochemical Data." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3636664.
Повний текст джерелаOgiela, Lidia. "Biological Modelling in Semantic Data Analysis Systems." In 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS). IEEE, 2012. http://dx.doi.org/10.1109/imis.2012.81.
Повний текст джерелаKim, Christine, Peggy Yin, Carlos X. Soto, Ian K. Blaby, and Shinjae Yoo. "Multimodal biological analysis using NLP and expression profile." In 2018 New York Scientific Data Summit (NYSDS). IEEE, 2018. http://dx.doi.org/10.1109/nysds.2018.8538944.
Повний текст джерелаLivengood, Philip, Ross Maciejewski, Wei Chen, and David S. Ebert. "A visual analysis system for metabolomics data." In 2011 IEEE Symposium on Biological Data Visualization (BioVis). IEEE, 2011. http://dx.doi.org/10.1109/biovis.2011.6094050.
Повний текст джерелаThai, My T., Ping Deng, Weili Wu, Taieb Znati, Onur Seref, O. Erhun Kundakcioglu, and Panos Pardalos. "Approximation algorithms of non-unique probes selection for biological target identification." In DATA MINING, SYSTEMS ANALYSIS AND OPTIMIZATION IN BIOMEDICINE. AIP, 2007. http://dx.doi.org/10.1063/1.2817340.
Повний текст джерелаJager, Gunter, Florian Battke, and Kay Nieselt. "TIALA — Time series alignment analysis." In 2011 IEEE Symposium on Biological Data Visualization (BioVis). IEEE, 2011. http://dx.doi.org/10.1109/biovis.2011.6094048.
Повний текст джерелаPedersen, Edvard, Inge Alexander Raknes, Martin Ernstsen, and Lars Ailo Bongo. "Integrating Data-Intensive Computing Systems with Biological Data Analysis Frameworks." In 2015 23rd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP). IEEE, 2015. http://dx.doi.org/10.1109/pdp.2015.106.
Повний текст джерелаNowke, Christian, Maximilian Schmidt, Sacha J. van Albada, Jochen M. Eppler, Rembrandt Bakker, Markus Diesrnann, Bernd Hentschel, and Torsten Kuhlen. "VisNEST — Interactive analysis of neural activity data." In 2013 IEEE Symposium on Biological Data Visualization (BioVis). IEEE, 2013. http://dx.doi.org/10.1109/biovis.2013.6664348.
Повний текст джерелаCui, Guangzhao, Xianghong Cao, and Xuncai Zhang. "Analysis of Biological Data with Digital Signal Processing." In 2005 IEEE 7th Workshop on Multimedia Signal Processing. IEEE, 2005. http://dx.doi.org/10.1109/mmsp.2005.248561.
Повний текст джерелаMajid Rastegar-Mojarad, Saeed Talatian-Azad, and Behrouz Minaei-Bidgoli. "A survey on biological data analysis by biclustering." In 2010 International Conference on Educational and Information Technology (ICEIT). IEEE, 2010. http://dx.doi.org/10.1109/iceit.2010.5607792.
Повний текст джерелаЗвіти організацій з теми "Analysis of biological data"
Langston, Michael A. Scalable Computational Methods for the Analysis of High-Throughput Biological Data. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1050046.
Повний текст джерелаRatnarajah, Lavenia. Map of BioEco Observing networks/capability. EuroSea, October 2021. http://dx.doi.org/10.3289/eurosea_d1.2.
Повний текст джерелаReilly-Collette, Marina, Brandon Booker, Kathryn Trubac, Tyler Elliott, Andrew Reichert, Charles Woodruff, and Lien Senchak. Testing of dry decontamination technologies for chemical, biological, radiological, and nuclear (CBRN) response. Engineer Research and Development Center (U.S.), May 2023. http://dx.doi.org/10.21079/11681/47032.
Повний текст джерелаRodriguez Muxica, Natalia. Open configuration options Bioinformatics for Researchers in Life Sciences: Tools and Learning Resources. Inter-American Development Bank, February 2022. http://dx.doi.org/10.18235/0003982.
Повний текст джерелаMatthew, Gray. Data from "Winter is Coming – Temperature Affects Immune Defenses and Susceptibility to Batrachochytrium salamandrivorans". University of Tennessee, Knoxville Libraries, January 2021. http://dx.doi.org/10.7290/t7sallfxxe.
Повний текст джерелаCao, Siyang, Yihao Wei, Tiantian Qi, Peng Liu, Yingqi Chen, Fei Yu, Hui Zeng, and Jian Weng. Stem cell therapy for peripheral nerve injury: An up-to-date meta-analysis of 55 preclinical researches. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2022. http://dx.doi.org/10.37766/inplasy2022.10.0083.
Повний текст джерелаNachtrieb, Julie. Field site analysis of giant salvinia nitrogen content and salvinia weevil density. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42060.
Повний текст джерелаTorney, D. C., W. Bruno, and V. Detours. Nonlinear analysis of biological sequences. Office of Scientific and Technical Information (OSTI), November 1998. http://dx.doi.org/10.2172/674921.
Повний текст джерелаMcMinn, James W. Biological Diversity Research: An Analysis. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southeastern Forest Experiment Station, 1991. http://dx.doi.org/10.2737/se-gtr-071.
Повний текст джерелаMcMinn, James W. Biological Diversity Research: An Analysis. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southeastern Forest Experiment Station, 1991. http://dx.doi.org/10.2737/se-gtr-71.
Повний текст джерела