Intelligent Systems for Predictive Modelling in Cheminformatics: QSPR Models for Material Design Using Machine Learning and Visual Analytics Tools (English)
- New search for: Cravero, F.
- New search for: Martinez, M. J.
- New search for: Vazquez, G. E.
- New search for: Díaz, M. F.
- New search for: Ponzoni, I.
- New search for: Cravero, F.
- New search for: Martinez, M. J.
- New search for: Vazquez, G. E.
- New search for: Díaz, M. F.
- New search for: Ponzoni, I.
In:
10th International Conference on Practical Applications of Computational Biology & Bioinformatics
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2016
- Article/Chapter (Book) / Electronic Resource
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Title:Intelligent Systems for Predictive Modelling in Cheminformatics: QSPR Models for Material Design Using Machine Learning and Visual Analytics Tools
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Contributors:Cravero, F. ( author ) / Martinez, M. J. ( author ) / Vazquez, G. E. ( author ) / Díaz, M. F. ( author ) / Ponzoni, I. ( author )
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Published in:10th International Conference on Practical Applications of Computational Biology & Bioinformatics , 1 ; 3-11Advances in Intelligent Systems and Computing ; 477, 1 ; 3-11
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Publisher:
- New search for: Springer International Publishing
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Place of publication:Cham
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Publication date:2016-01-01
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Size:9 pages
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ISBN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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Intelligent Systems for Predictive Modelling in Cheminformatics: QSPR Models for Material Design Using Machine Learning and Visual Analytics ToolsCravero, F. / Martinez, M. J. / Vazquez, G. E. / Díaz, M. F. / Ponzoni, I. et al. | 2016
- 13
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Virtual Screening: A Challenge for Deep LearningPérez-Sianes, Javier / Pérez-Sánchez, Horacio / Díaz, Fernando et al. | 2016
- 23
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A Primary Study on Application of Artificial Neural Network in Classification of Pediatric Fracture Healing Time of the Lower LimbMalek, Sorayya / Gunalan, R. / Kedija, S. Y. / Lau, C. F. / Mosleh, Mogeeb A. A. / Milow, Pozi / Amber, H. / Saw, A. et al. | 2016
- 31
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Visual Exploratory Assessment of Class C GPCR Extracellular Domains Discrimination CapabilitiesCárdenas, Martha I. / Vellido, Alfredo / Giraldo, Jesús et al. | 2016
- 41
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Development of a Machine Learning Framework for Biomedical Text MiningRodrigues, Ruben / Costa, Hugo / Rocha, Miguel et al. | 2016
- 51
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Sequence Retriever for Known, Discovered, and User-Specified Molecular FragmentsSagar, S. / Sidorova, J. et al. | 2016
- 61
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Sensitivity, Specificity and Prioritization of Gene Set Analysis When Applying Different Ranking MetricsZyla, Joanna / Marczyk, Michal / Polanska, Joanna et al. | 2016
- 71
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Deep Data Analysis of a Large Microarray Collection for Leukemia Biomarker IdentificationLabaj, Wojciech / Papiez, Anna / Polanska, Joanna / Polanski, Andrzej et al. | 2016
- 81
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Cancer Detection Using Co-Training of SNP/Gene/MiRNA Expressions ClassifiersMohamed, Reham / Ghanem, Nagia M. / Ismail, Mohamed A. et al. | 2016
- 91
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Systematic Evaluation of Gene Expression Data Analysis Methods Using Benchmark DataYang, Henry et al. | 2016
- 99
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A Clustering-Based Method for Gene Selection to Classify Tissue Samples in Lung CancerCastellanos-Garzón, José A. / Ramos, Juan / González-Briones, Alfonso / Paz, Juan F. et al. | 2016
- 109
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Large-Scale Transcriptomic Approaches for Characterization of Post-Transcriptional Control of Gene ExpressionSouto, Laura / González-Briones, Alfonso / Amaral, Andreia J. / Gama-Carvalho, Margarida / Paz, Juan F. et al. | 2016
- 123
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FLAK: Ultra-Fast Fuzzy Whole Genome AlignmentHealy, John et al. | 2016
- 133
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Exploring the High Performance Computing-Enablement of a Suite of Gene-Knockout Based Genetic Engineering ApplicationsLi, Zhenya / Sinnott, Richard O. / Choon, Yee Wen / Sjaugi, Muhammad Farhan / Mohammad, Mohd Saberi / Deris, Safaai / Napis, Suhaimi / Omatu, Sigeru / Corchado, Juan Manuel / Ibrahim, Zuwairie et al. | 2016
- 141
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RUbioSeq+: An Application that Executes Parallelized Pipelines to Analyse Next-Generation Sequencing DataRubio-Camarillo, Miriam / López-Fernández, Hugo / Gómez-López, Gonzalo / Carro, Ángel / Fernández, José María / Fdez-Riverola, Florentino / Glez-Peña, Daniel / Pisano, David G. et al. | 2016
- 151
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Exceptional Symmetry Profile: A Genomic Word AnalysisAfreixo, Vera / Rodrigues, João M. O. S. / Bastos, Carlos A. C. / Silva, Raquel M. et al. | 2016
- 161
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A Computation Tool for the Estimation of Biomass Composition from Genomic and Transcriptomic InformationSantos, Sophia / Rocha, Isabel et al. | 2016
- 173
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Role of Nerve Growth Factor Signaling in Cancer Cell Proliferation and Survival Using a Reachability Analysis ApproachSantos-García, Gustavo / Talcott, Carolyn / Riesco, Adrián / Santos-Buitrago, Beatriz / Las Rivas, Javier et al. | 2016
- 183
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A Hybrid of Harmony Search and Minimization of Metabolic Adjustment for Optimization of Succinic Acid ProductionWahid, Nor Syahirah Abdul / Mohamad, Mohd Saberi / Salleh, Abdul Hakim Mohamed / Deris, Safaai / Chan, Weng Howe / Omatu, Sigeru / Corchado, Juan Manuel / Sjaugi, Muhammad Farhan / Ibrahim, Zuwairie / Yusof, Zulkifli Md. et al. | 2016
- 193
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Development of an Integrated Framework for Minimal Cut Set Enumeration in Constraint-Based ModelsVieira, Vítor / Maia, Paulo / Rocha, Isabel / Rocha, Miguel et al. | 2016
- 203
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SCENERY: A Web-Based Application for Network Reconstruction and Visualization of Cytometry DataAthineou, Giorgos / Papoutsoglou, Giorgos / Triantafillou, Sofia / Basdekis, Ioannis / Lagani, Vincenzo / Tsamardinos, Ioannis et al. | 2016
- 213
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Reconstruction of Metabolic Models for Liver Cancer CellsFerreira, Jorge / Correia, Sara / Rocha, Miguel et al. | 2016