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检索条件"任意字段=6th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2015"

共 237 条记录，以下是31-40 订阅

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6th international Workshop on Mining Ubiquitous and Social Environments, MUSE 2015, held in conjunction with the 6th European conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2015, 6th international Workshop on Modeling Social Media, MSM 2015, held in conjunction with the 24th international World Wide Web conference, WWW 2015 and 7th international Workshop on Modeling Social Media, MSM 2016, held in conjunction with the 25th international World Wide Web conference, WWW 2016

6th International Workshop on Mining Ubiquitous and Social E...

引用

6th international Workshop on Mining Ubiquitous and Social Environments, MUSE 2015, held in conjunction with the 6th European conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2015, 6th international Workshop on Modeling Social Media, MSM 2015, held in conjunction with the 24th international World Wide Web conference, WWW 2015 and 7th international Workshop on Modeling Social Media, MSM 2016, held in conjunction with the 25th international World Wide Web conference, WWW 2016

ISBN: (纸本)9783030339067

the proceedings contain 7 papers. the special focus in this conference is on Mining Ubiquitous and Social Environments. the topics include: Analyzing big data streams with apache SAMOA;Multimodal behavioral mobility pattern mining and analysis using topic modeling on GPS data;sequential monte carlo inference based on activities for overlapping community models;results of a survey about the perceived task similarities in micro task crowdsourcing systems;Provenance of explicit and implicit interactions on social media with W3C PROV-DM.

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Unconventional Computation: 6th international conference, UC 2007 Proceedings

Unconventional Computation: 6th International Conference, UC...

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6th international conference on Unconventional Computation, UC 2007

ISBN: (纸本)9783540735533

the proceedings contain 21 papers. the topics discussed include: how neural computing can still be unconventional after all these years;optimal algorithmic cooling of spins;nanocomputing by self-assembly;unconventional models of computation through non-standard logic circuits;on one unconventional framework for computation;computing through gene assembly;learning vector quantization network for PAPR reduction in orthogonal frequency division multiplexing systems;binary ant colony algorithm for symbol detection in a spatial multiplexing system;quantum authenticated key distribution;the abstract immune system algorithm;taming non-compositionality using new binders;using river formation dynamics to design heuristic algorithms;principles of stochastic local search;spatial and temporal resource allocation for adaptive parallel genetic algorithm;gravitational topological quantum computation;and computation in sofic quantum dynamical systems.

关键词： Computational methods

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the systems toxicology challenge: How to leverage omics data to predict mechanisms of toxicity? 15

The systems toxicology challenge: How to leverage omics data...

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6th ACM conference on bioinformatics, Computational Biology, and Health Informatics, BCB 2015

作者： Ivanov, Nikolai V. Poussin, Carine Boué, Stéphanie Martin, Florian Sewer, Alain Titz, Bjoern Peitsch, Manuel C. Hoeng, Julia Philip Morris International R and D Neuchâtel2000 Switzerland

ISBN: (纸本)9781450338530

Risk assessment in the context of 21st century toxicology relies on the elucidation and understanding of mechanisms of toxicity. For that purpose, datasets generated by high-throughput technologies (e.g., high-throughput/content screening) combined with various omics data types are now generated in vitro to test large and diverse set of chemicals (e.g. ToxCast). the development of relevant computational approaches for the analysis and integration of these big data remains challenging and requires qualitative and quantitative evaluation. the current scope of sbv IMPROVER (Industrial Methodology for Process Verification in Research;http://***) is the verification of methods and concepts in systems biology research via challenges opened to the scientific community. Previous challenges brought new insights on methods and their associated results that address questions about diagnostic signatures, the translatability of biological responses/processes across species, and the relevance of biological causal network models. A new sbv IMPROVER challenge will be introduced aiming at evaluating (i) methodologies for the identification of specific biomarkers of exposure and (ii) the predictability by omics data of toxicity mechanisms when cells/tissues in vitro or whole organisms are exposed to individual chemical molecules or mixtures. Participants will be provided with high quality data sets to develop predictive models/classifiers. For this challenge, the integration of a priori biological knowledge in the development of computational approaches may be required to enable biological interpretability/understanding of the predictions. the results and post-challenge analyses will be shared with the scientific community, and will open new avenues in the field of systems toxicology. Copyright is held by the author/owner(s).

关键词： Risk assessment

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Automatic Generation of DistAlgo Programs from Event-B models 7th

Automatic Generation of DistAlgo Programs from Event-B Model...

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7th international conference on Rigorous State-Based methods (ABZ)

作者： Grall, Alexis LORIA UMR 7503 Vandoeuvre Les Nancy France Univ Lorraine Vandoeuvre Les Nancy France

the development of distributed algorithms offers challenges in verifying that they meet their specifications. the correct-by-construction approach consists in developing a model of the algorithm before transforming th... 详细信息

ISBN: (纸本)9783030480769;9783030480776

关键词： Computers

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Biomedical Engineering Systems and Technologies 1st ed. 2017

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丛书名： Communications in Computer and Information Science

2017年

作者： Ana Fred Hugo Gamboa

ISBN: (数字)9783319547176

ISBN: (纸本)9783319547169

this book constitutes the thoroughly refereed post-conference proceedings of the 9th international Joint conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016, held in Rome, Italy, in February 2016. the 22 revised full papers presented were carefully reviewed and selected from a total of 321 submissions. the papers are organized in topical sections onbiomedical electronics and devices; bioimaging; bioinformatics models, methods and algorithms; bio-inspired systems and signal processing; health informatics.

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Prediction models for estimation of survival rate and relapse for breast cancer patients 15

Prediction models for estimation of survival rate and relaps...

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15th IEEE international conference on bioinformatics and Bioengineering, BIBE 2015

作者： Cirkovic, Bojana R. Andjelkovic Cvetkovic, Aleksandar M. Ninkovic, Srdjan M. Filipovic, Nenad D. Faculty of Engineering University of Kragujevac Serbia Clinic for Surgery Clinical Center of Kragujevac Serbia Faculty of Medical Sciences University of Kragujevac Serbia

ISBN: (纸本)9781467379830

In this paper, we described the practical application of data mining methods for estimation of survival rate and disease relapse for breast cancer patients. A comparative study of prominent machine learning models was carried out and according to the achieved results we concluded that the classifiers obviously learn some of the concepts of breast cancer survivability and recurrence. these algorithms were successfully applied to a novel breast cancer data set of the Clinical Center of Kragujevac. the Naive Bayes classifier is selected as a model for prognosis of cancer survivability on the basis of the 5 years survival rate, while the Artificial Neural Network has achieved the best performance in prognosis of cancer recurrence. Selection of twenty attributes that are the most related to success of prognosis on survivability can give new insights into the set of prognostic factors which need to be observed by medical experts. © 2015 IEEE.

关键词： Diseases

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A Comprehensive Review of Experimental and Computational methods for Protein Structure Prediction and Classification 6

A Comprehensive Review of Experimental and Computational Met...

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6th international conference on Advanced Aspects of Software Engineering, ICAASE 2024

作者： Nabil, Bourenane Mohamed Hachem, Kermani Mohamed Zizette, Boufaida Laboratory Constantine Algeria Laboratory Constantine Algeria

ISBN: (纸本)9798331522810

Protein and genetic information are essential in personalizing treatments for individual patients. A major hurdle, however, is the in-depth comprehension of proteins, which is predominantly facilitated by identifying their structures. Accurate prediction and classification of protein structures are crucial for elucidating how proteins operate and interact within biological systems. In bioinformatics, numerous computational methods have been developed to support experimental techniques in protein structure prediction. these approaches draw on diverse data, including protein sequences, genomes, and structural characteristics, while often combining various strategies. this review evaluates the effectiveness of current methods, highlighting their advantages and drawbacks. Additionally, it explores the importance of interdisciplinary collaborations, emphasizing the integration of experimental and computational approaches to showcase how these partnerships can advance the prediction and classification of protein structures. © 2024 IEEE.

关键词： Prediction models

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Estimation of arbitrary human models from anthropometric dimensions 6th

Estimation of arbitrary human models from anthropometric dim...

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6th international conference on Digital Human Modeling, DHM 2015 Held as Part of 17th international conference on Human-Computer Interaction, HCI international 2015

作者： Endo, Yui Tada, Mitsunori Mochimaru, Masaaki Digital Human Research Center National Institute of Advanced Science and Technology Tsukuba Japan

ISBN: (纸本)9783319210698

In this paper, we describe a novel approach for reconstructing arbitrary whole-body human models from an arbitrary sparse subset of anthropometric dimensions. Firstly, a comprehensive set of dimensions is estimated from the subset via the principal component space for the dimensions. then, a skin surface model with the obtained comprehensive set of dimensions is constructed by deforming a whole-body human model template. the result is validated based on the error distribution of the dimensions of the obtained surface mesh for the target. © Springer international Publishing Switzerland 2015.

关键词： Anthropometry

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Sequential monte carlo inference based on activities for overlapping community models 1

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作者： Sakamoto, Shohei Eguchi, Koji Kobe University Kobe657-8501 Japan Hiroshima University Higashi-Hiroshima739-8527 Japan

ISBN: (数字)9783030344078

ISBN: (纸本)9783030339067

Various kinds of data such as social media can be represented as a network or graph. Latent variable models using Bayesian statistical inference are powerful tools to represent such networks. One such latent variable network model is a Mixed Membership Stochastic Blockmodel (MMSB), which can discover overlapping communities in a network and has high predictive power. Previous inference methods estimate the latent variables and unknown parameters of the MMSB on the basis of the whole observed network. therefore, dynamic changes in network structure over time are hard to track. thus, we first present an incremental Gibbs sampler based on node activities that focuses only on observations within a fixed term length for online sequential estimation of the MMSB. We further present a particle filter based on node activities with various term lengths. For instance, in an e-mail communication network, each particle only considers e-mail accounts that sent or received a message within a specific term length, where the length may be different from those of other particles. We show through experiments with two link prediction datasets that our proposed methods achieve both high prediction performance and computational efficiency. © Springer Nature Switzerland AG 2019.

关键词： Computational efficiency

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Computational simulation of blood flow in a DeBakey type i aortic dissection 15

Computational simulation of blood flow in a DeBakey type i a...

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15th IEEE international conference on bioinformatics and Bioengineering, BIBE 2015

作者： Djorovic, Smiljana Filipovic, Nenad Stojic, Vladislava Velicki, Lazar Faculty of Mechanical Engineering University of Kragujevac 6 Sestre Janjic Street Kragujevac34000 Serbia Faculty of Medical Science University of Kragujevac 69 Svetozar Markovic Street Kragujevac34 000 Serbia Institute of Cardiovascular Diseases in Sremska Kamenica 4 Put Doktora Goldmana Street Sremska Kamenica21208 Serbia

ISBN: (纸本)9781467379830

the main purpose of this study is to examine how flow field in aortic dissection is affected by its geometry and flow condition. Two models of DeBakey type I aortic dissection, which involves the entire aorta, were analyzed. Patient-specific geometries were reconstructed, based on Computed tomography (CT) scan images, in order to obtain 3D finite element meshes. Computational fluid dynamics (CFD), which uses numeric methods and algorithms for the simulation of blood flow by solving the Navier-Stokes equations on computational meshes, enhances the understanding of disease progression. For that purpose, the major fluid dynamic parameters and indicators of disease progression, such as velocity field, pressure and shear stress, were computed and analyzed. the computed results showed higher velocities in the ascending aorta, the inlet and outlet tears and the iliac arteries, in case of both models. the pressure distribution showed high zones in the ascending aorta, while the shear stress distribution showed low zones in the aneurysm part, in case of both models. In summary, the presented study can be extended to a larger patient group in a longitudinal study with the goal to determine the potential value of CFD simulations in prediction of aneurysmal growth and rupture. © 2015 IEEE.

关键词： Navier Stokes equations

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