Simone Ciccolella

According to our database, Simone Ciccolella authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

PangeBlocks: customized construction of pangenome graphs via maximal blocks.

Jorge Avila Cartes, Paola Bonizzoni, Simone Ciccolella, Gianluca Della Vedova, Luca Denti

BMC Bioinform., December, 2024

2023

Three Metaheuristic Approaches for Tumor Phylogeny Inference: An Experimental Comparison.

Simone Ciccolella, Gianluca Della Vedova, Vladimir Filipovic, Mauricio Soto Gomez

Algorithms, July, 2023

Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data.

Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson

J. Comput. Biol., April, 2023

2021

MALVIRUS: an integrated application for viral variant analysis.

Simone Ciccolella, Luca Denti, Paola Bonizzoni, Gianluca Della Vedova, Yuri Pirola, Marco Previtali

BMC Bioinform., November, 2021

Effective Clustering for Single Cell Sequencing Cancer Data.

Simone Ciccolella, Murray Patterson, Paola Bonizzoni, Gianluca Della Vedova

IEEE J. Biomed. Health Informatics, 2021

Simpler and Faster Development of Tumor Phylogeny Pipelines.

Sarwan Ali, Simone Ciccolella, Lorenzo Lucarella, Gianluca Della Vedova, Murray Patterson

J. Comput. Biol., 2021

Inferring cancer progression from Single-Cell Sequencing while allowing mutation losses.

Simone Ciccolella, Camir Ricketts, Mauricio Soto Gomez, Murray Patterson, Dana Silverbush, Paola Bonizzoni, Iman Hajirasouliha, Gianluca Della Vedova

Bioinform., 2021

Triplet-based similarity score for fully multilabeled trees with poly-occurring labels.

Simone Ciccolella, Giulia Bernardini, Luca Denti, Paola Bonizzoni, Marco Previtali, Gianluca Della Vedova

Bioinform., 2021

Clustering SARS-CoV-2 Variants from Raw High-Throughput Sequencing Reads Data.

Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson

Proceedings of the Computational Advances in Bio and Medical Sciences: 11th International Conference, 2021

2020

gpps: an ILP-based approach for inferring cancer progression with mutation losses from single cell data.

Simone Ciccolella, Mauricio Soto Gomez, Murray D. Patterson, Gianluca Della Vedova, Iman Hajirasouliha, Paola Bonizzoni

BMC Bioinform., 2020

2019

Does Relaxing the Infinite Sites Assumption Give Better Tumor Phylogenies? An ILP-Based Comparative Approach.

Paola Bonizzoni, Simone Ciccolella, Gianluca Della Vedova, Mauricio Soto Gomez

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

2017

Beyond Perfect Phylogeny: Multisample Phylogeny Reconstruction via ILP.

Paola Bonizzoni, Simone Ciccolella, Gianluca Della Vedova, Mauricio Soto Gomez

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017