LUCA ALESSANDRÌ

University of Turin

Italy

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Articles (10)

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Collaborators (11)

Federica Riccardo

Post-doctoral fellow, "Assegno di Ricerca" (AIRC Prof. F.Cavallo))

Università degli Studi di Torino

ITALY

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Maria Flavia DI RENZO

Full professor

Università degli Studi di Torino

ITALY

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Marco Antonio Tangaro

ITALY

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Francesca Cordero

Associate Professor

University of Turin

ITALY

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Federico Zambelli

Associate Professor

Università degli Studi di Urbino Carlo Bo Dipartimento di Scienze Biomolecolari

ITALY

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vincenzo bonnici

Temporary Assistant Professor with tenure track

University of Parma

ITALY

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Elena Grassi

Candiolo Cancer Institute, FPO-IRCCS

ITALY

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Marco Beccuti

Professor

University of Turin

ITALY

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Simone Avesani

University of Verona

ITALY

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Rosalba Giugno

Associate Professor

University of Verona

ITALY

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Marco Viviani

Candiolo Cancer Institute

ITALY

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LUCA ALESSANDRÌ

Research Interests

Explore related searches

Contact this professor

Articles (10)

Epigenetic changes by EZH2 inhibition increase translocations in B cells with high AID activity or DNA repair deficiency

A single cell RNAseq benchmark experiment embedding “controlled” cancer heterogeneity

CREDO: a friendly Customizable, REproducible, DOcker file generator for bioinformatics applications

CONNECTOR, fitting and clustering of longitudinal data to reveal a new risk stratification system

Stardust: improving spatial transcriptomics data analysis through space-aware modularity optimization-based clustering

Sparsely Connected Autoencoders: A Multi-Purpose Tool for Single Cell omics Analysis

MET Exon 14 Skipping: A Case Study for the Detection of Genetic Variants in Cancer Driver Genes by Deep Learning

Sparsely-connected autoencoder (SCA) for single cell RNAseq data mining

Laniakea@ReCaS: exploring the potential of customisable Galaxy on-demand instances as a cloud-based service

Apoptotic Cell Exclusion and Bias-Free Single-Cell Selection Are Important Quality Control Requirements for Successful Single-Cell Sequencing Applications

Collaborators (11)

Federica Riccardo

Maria Flavia DI RENZO

Marco Antonio Tangaro

Francesca Cordero

Federico Zambelli

vincenzo bonnici

Elena Grassi

Marco Beccuti

Simone Avesani

Rosalba Giugno

Marco Viviani

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