default search action
16th CIBB 2019: Bergamo, Italy
- Paolo Cazzaniga
, Daniela Besozzi
Computational Intelligence Methods for Bioinformatics and Biostatistics - 16th International Meeting, CIBB 2019, Bergamo, Italy, September 4-6, 2019, Revised Selected Papers. Lecture Notes in Computer Science 12313, Springer 2020, ISBN 978-3-030-63060-7
Computational Intelligence Methods for Bioinformatics and Biostatistics
- Guillaume Zamora, Caro Fuchs
A Smartphone-Based Clinical Decision Support System for Tremor Assessment. 3-12 - Lucrezia Patruno, Edoardo Galimberti, Daniele Ramazzotti
cyTRON and cyTRON/JS: Two Cytoscape-Based Applications for the Inference of Cancer Evolution Models. 13-18 - Ryan Mitchell, David E. Cairns
Effective Use of Evolutionary Computation to Parameterise an Epidemiological Model. 19-32 - Eleonora Cappelli
Extending Knowledge on Genomic Data and Metadata of Cancer by Exploiting Taxonomy-Based Relaxed Queries on Domain-Specific Ontologies. 33-43 - Changhee Han, Leonardo Rundo
GAN-Based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis. 44-54 - Moritz Kulessa
Improving the Fusion of Outbreak Detection Methods with Supervised Learning. 55-66 - The Tien Mai
Learning Cancer Drug Sensitivities in Large-Scale Screens from Multi-omics Data with Local Low-Rank Structure. 67-79 - Guillaume Fertin
Mass Spectra Interpretation and the Interest of SpecFit for Identifying Uncommon Modifications. 80-89 - Manuel Anacleto, Susana Vinga
MSAX: Multivariate Symbolic Aggregate Approximation for Time Series Classification. 90-97 - Daniele D'Agostino, Pietro Liò
NeoHiC: A Web Application for the Analysis of Hi-C Data. 98-107 - André Veríssimo
Random Sample Consensus for the Robust Identification of Outliers in Cancer Data. 108-118 - Alberto Dennunzio
Solving Equations on Discrete Dynamical Systems. 119-132 - Meysam Roodi, Andreas Moshovos:
SW+: On Accelerating Smith-Waterman Execution of GATK HaplotypeCaller. 133-141
Algebraic and Computational Methods for the Study of RNA Behaviour
- Stefano Maestri
Algebraic Characterisation of Non-coding RNA. 145-158 - Maria Waldl
Bi-alignments as Models of Incongruent Evolution of RNA Sequence and Secondary Structure. 159-170 - Michela Quadrini
Label Core for Understanding RNA Structure. 171-179 - Yuliya Susanina
Modification of Valiant's Parsing Algorithm for the String-Searching Problem. 180-192 - Polina Lunina
On Secondary Structure Analysis by Using Formal Grammars and Artificial Neural Networks. 193-203
Intelligence Methods for Molecular Characterization and Dynamics in Translational Medicine
- Davide Maspero, Marzia Di Filippo, Fabrizio Angaroni, Dario Pescini
Integration of Single-Cell RNA-Sequencing Data into Flux Balance Cellular Automata. 207-215
Machine Learning in Healthcare Informatics and Medical Biology
- Alberto Pinheira
Characterizing Bipolar Disorder-Associated Single Nucleotide Polymorphisms in a Large British Cohort Using Association Rules. 219-231 - Silvia Cascianelli, Francisco Cristovao, Arif Canakoglu, Mark J. Carman, Luca Nanni, Pietro Pinoli, Marco Masseroli:
Evaluating Deep Semi-supervised Learning for Whole-Transcriptome Breast Cancer Subtyping. 232-244 - Giuseppe Agapito, Mario Cannataro, Pietro H. Guzzi
Learning Weighted Association Rules in Human Phenotype Ontology. 245-256 - Gaia Ceddia
Network Modeling and Analysis of Normal and Cancer Gene Expression Data. 257-270 - Eunice Carrasquinha
Regularization Techniques in Radiomics: A Case Study on the Prediction of pCR in Breast Tumours and the Axilla. 271-281
Modeling and Simulation Methods for Computational Biology and Systems Medicine
- Marzio Pennisi
In Silico Evaluation of Daclizumab and Vitamin D Effects in Multiple Sclerosis Using Agent Based Models. 285-298 - Simone Pernice
Multiple Sclerosis Disease: A Computational Approach for Investigating Its Drug Interactions. 299-308 - Paola Lecca
Observability of Bacterial Growth Models in Bubble Column Bioreactors. 309-322 - Nicola Bombieri, Antonio Mastrandrea, Silvia Scaffeo, Simone Caligola
On the Simulation and Automatic Parametrization of Metabolic Networks Through Electronic Design Automation. 323-334 - Isis Bonet
Deep Clustering for Metagenomics. 335-347
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-22 19:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: