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Gianluca Della Vedova

◀ ▶ joint publications with Murray Patterson

> Home > Persons > Gianluca Della Vedova

Publications

2023
[j44]
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Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson:
Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data. J. Comput. Biol. 30(4): 469-491 (2023)
2022
[i17]
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  - journals/corr/abs-2211-08267
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Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson:
Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data. CoRR abs/2211.08267 (2022)
2021
[j41]
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  - journals/bioinformatics/CiccolellaRGPSB21
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Simone Ciccolella, Camir Ricketts, Mauricio Soto Gomez, Murray Patterson, Dana Silverbush, Paola Bonizzoni, Iman Hajirasouliha, Gianluca Della Vedova:
Inferring cancer progression from Single-Cell Sequencing while allowing mutation losses. Bioinform. 37(3): 326-333 (2021)
[j38]
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  - journals/jcb/AliCLVP21
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Sarwan Ali, Simone Ciccolella, Lorenzo Lucarella, Gianluca Della Vedova, Murray Patterson:
Simpler and Faster Development of Tumor Phylogeny Pipelines. J. Comput. Biol. 28(11): 1142-1155 (2021)
[j36]
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  - journals/titb/CiccolellaPBV21
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Simone Ciccolella, Murray Patterson, Paola Bonizzoni, Gianluca Della Vedova:
Effective Clustering for Single Cell Sequencing Cancer Data. IEEE J. Biomed. Health Informatics 25(11): 4068-4078 (2021)
[c31]
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  - conf/iccabs/ChourasiaACVP21
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Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson:
Clustering SARS-CoV-2 Variants from Raw High-Throughput Sequencing Reads Data. ICCABS 2021: 133-148
2020
[j35]
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  - journals/bmcbi/CiccolellaGPVHB20
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Simone Ciccolella, Mauricio Soto Gomez, Murray D. Patterson, Gianluca Della Vedova, Iman Hajirasouliha, Paola Bonizzoni:
gpps: an ILP-based approach for inferring cancer progression with mutation losses from single cell data. BMC Bioinform. 21-S(1): 413 (2020)
2019
[j33]
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  - journals/quanbio/RizziBPPPVB19
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Raffaella Rizzi, Stefano Beretta, Murray Patterson, Yuri Pirola, Marco Previtali, Gianluca Della Vedova, Paola Bonizzoni:
Overlap graphs and de Bruijn graphs: data structures for de novo genome assembly in the big data era. Quant. Biol. 7(4): 278-292 (2019)
[c30]
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  - conf/bcb/CiccolellaPBV19
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Simone Ciccolella, Murray D. Patterson, Paola Bonizzoni, Gianluca Della Vedova:
Effective Clustering for Single Cell Sequencing Cancer Data. BCB 2019: 437-446
[c29]
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  - conf/cpm/0001BVP19
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Giulia Bernardini, Paola Bonizzoni, Gianluca Della Vedova, Murray Patterson:
A Rearrangement Distance for Fully-Labelled Trees. CPM 2019: 28:1-28:15
[i16]
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  - journals/corr/abs-1904-01321
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Giulia Bernardini, Paola Bonizzoni, Gianluca Della Vedova, Murray Patterson:
A rearrangement distance for fully-labelled trees. CoRR abs/1904.01321 (2019)
2018
[j31]
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  - journals/bmcbi/BerettaPZVB18
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Stefano Beretta, Murray Patterson, Simone Zaccaria, Gianluca Della Vedova, Paola Bonizzoni:
HapCHAT: adaptive haplotype assembly for efficiently leveraging high coverage in long reads. BMC Bioinform. 19(1): 252:1-252:19 (2018)
[c27]
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  - conf/iccabs/CiccolellaGPVHB18
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Simone Ciccolella, Mauricio Soto Gomez, Murray Patterson, Gianluca Della Vedova, Iman Hajirasouliha, Paola Bonizzoni:
gpps: an ILP-based approach for inferring cancer progression with mutation losses from single cell data. ICCABS 2018: 1
2017
[c25]
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  - conf/cie/VedovaPRS17
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Gianluca Della Vedova, Murray Patterson, Raffaella Rizzi, Mauricio Soto Gomez:
Character-Based Phylogeny Construction and Its Application to Tumor Evolution. CiE 2017: 3-13

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