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Home > Computational Intelligence Methods for Bioinformatics and Biostatistics: 16th International Meeting, CIBB 2019, Bergamo, Italy, September 4–6, 2019, Revised Selected Papers > cyTRON and cyTRON/JS: Two Cytoscape-Based Applications for the Inference of Cancer Evolution Models
Computational Intelligence Methods for Bioinformatics and Biostatistics: 16th International Meeting, CIBB 2019, Bergamo, Italy, September 4–6, 2019, Revised Selected Papers |
Paolo Cazzaniga; Daniela Besozzi; Ivan Merelli; Luca Manzoni
Springer International Publishing
Computational Intelligence Methods for Bioinformatics and Biostatistics: 16th International Meeting, CIBB 2019, Bergamo, Italy, September 4–6, 2019, Revised Selected Papers
cyTRON and cyTRON/JS: Two Cytoscape-Based Applications for the Inference of Cancer Evolution Models
Authors

Lucrezia Patruno; Edoardo Galimberti; Daniele Ramazzotti; Giulio Caravagna; Luca De Sano; Marco Antoniotti et al.

ARI Id

1665292554800_5758568

Access

Not Available Free

Pages

13-18

DOI

10.1007/978-3-030-63061-4_2

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-63061-4_2

Table of Contents of Book
Showing 1 to 20 of 36 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xiv
Front Matter
1-1
A Smartphone-Based Clinical Decision Support System for Tremor Assessment
Guillaume Zamora; Caro Fuchs; Aurélie Degeneffe; Pieter Kubben; Uzay Kaymak
3-12
cyTRON and cyTRON/JS: Two Cytoscape-Based Applications for the Inference of Cancer Evolution Models
Lucrezia Patruno; Edoardo Galimberti; Daniele Ramazzotti; Giulio Caravagna; Luca De Sano; Marco Antoniotti et al.
13-18
Effective Use of Evolutionary Computation to Parameterise an Epidemiological Model
Ryan Mitchell; David Cairns; Dalila Hamami; Kevin Pollock; Carron Shankland
19-32
Extending Knowledge on Genomic Data and Metadata of Cancer by Exploiting Taxonomy-Based Relaxed Queries on Domain-Specific Ontologies
Eleonora Cappelli; Emanuel Weitschek; Fabio Cumbo
33-43
GAN-Based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer’s Disease Diagnosis
Changhee Han; Leonardo Rundo; Kohei Murao; Zoltán Ádám Milacski; Kazuki Umemoto; Evis Sala et al.
44-54
Improving the Fusion of Outbreak Detection Methods with Supervised Learning
Moritz Kulessa; Eneldo Loza Mencía; Johannes Fürnkranz
55-66
Learning Cancer Drug Sensitivities in Large-Scale Screens from Multi-omics Data with Local Low-Rank Structure
The Tien Mai; Leiv Rønneberg; Zhi Zhao; Manuela Zucknick; Jukka Corander
67-79
Mass Spectra Interpretation and the Interest of SpecFit for Identifying Uncommon Modifications
Guillaume Fertin; Matthieu David; Hélène Rogniaux; Dominique Tessier
80-89
MSAX: Multivariate Symbolic Aggregate Approximation for Time Series Classification
Manuel Anacleto; Susana Vinga; Alexandra M. Carvalho
90-97
NeoHiC: A Web Application for the Analysis of Hi-C Data
Daniele D’Agostino; Pietro Liò; Marco Aldinucci; Ivan Merelli
98-107
Random Sample Consensus for the Robust Identification of Outliers in Cancer Data
André Veríssimo; Marta B. Lopes; Eunice Carrasquinha; Susana Vinga
108-118
Solving Equations on Discrete Dynamical Systems
Alberto Dennunzio; Enrico Formenti; Luciano Margara; Valentin Montmirail; Sara Riva
119-132
SW+: On Accelerating Smith-Waterman Execution of GATK HaplotypeCaller
Meysam Roodi; Andreas Moshovos
133-141
Front Matter
143-143
Algebraic Characterisation of Non-coding RNA
Stefano Maestri; Emanuela Merelli
145-158
Bi-alignments as Models of Incongruent Evolution of RNA Sequence and Secondary Structure
Maria Waldl; Sebastian Will; Michael T. Wolfinger; Ivo L. Hofacker; Peter F. Stadler
159-170
Label Core for Understanding RNA Structure
Michela Quadrini; Emanuela Merelli; Riccardo Piergallini
171-179
Modification of Valiant’s Parsing Algorithm for the String-Searching Problem
Yuliya Susanina; Anna Yaveyn; Semyon Grigorev
180-192
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 36 entries
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