PIERO FARISELLI

University of Turin

Italy

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Articles (18)

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2025

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2025

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2025

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2024

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2022

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2022

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2021

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2021

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2021

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2021

Collaborators (10)

Moreno Marzolla

University of Bologna

ITALY

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Massimiliano Corso

FRANCE

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Amos Maritan

University of Padua

ITALY

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Emidio Capriotti

Associate Professor

University of Bologna

ITALY

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Gabriele D'Angelo

Assistant Professor

University of Bologna

ITALY

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Cesare Rollo

University of Turin

ITALY

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Barbara Pardini

ITALY

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Tiziana Sanavia

Assistant Professor

University of Turin

ITALY

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MILENA MARIA MAULE

University of Turin

ITALY

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Tiziana Crepaldi

PROFESSOR of BIOCHEMISTRY

University of Turin

ITALY

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PIERO FARISELLI

Research Interests

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Articles (18)

A Comprehensive Review of Deep Learning Applications with Multi-Omics Data in Cancer Research

Mass balance approximation of unfolding boosts potential‐based protein stability predictions

Thermodynamic perspectives into DNA stability and information encoding in the human genome

SYNDSURV: A simple framework for survival analysis with data distributed across multiple institutions

MUSE-XAE: MUtational Signature Extraction with eXplainable AutoEncoder enhances tumour types classification

Parallel intersection counting on shared-memory multiprocessors and GPUs

Build an international AI ‘telescope’ to curb the power of big tech companies

PhD-SNPg: updating a webserver and lightweight tool for scoring nucleotide variants

Nonlinear data fusion over Entity–Relation graphs for Drug–Target Interaction prediction

Influence of Model Structures on Predictors of Protein Stability Changes from Single-Point Mutations

Digital dermoscopy monitoring of melanocytic lesions: Two novel calculators combining static and dynamic features to identify melanoma

Development of a REDCap-based workflow for high-volume relational data analysis on real-time data in a medical department using open source software

DDGun: an untrained predictor of protein stability changes upon amino acid variants

From genotype to phenotype in Arabidopsis thaliana: in-silico genome interpretation predicts 288 phenotypes from sequencing data

A Deep-Learning Sequence-Based Method to Predict Protein Stability Changes Upon Genetic Variations

Identification of novel circulating microRNAs in advanced heart failure by next‐generation sequencing

An antisymmetric neural network to predict free energy changes in protein variants

DNA sequence symmetries from randomness: the origin of the Chargaff’s second parity rule

Collaborators (10)

Moreno Marzolla

Massimiliano Corso

Amos Maritan

Emidio Capriotti

Gabriele D'Angelo

Cesare Rollo

Barbara Pardini

Tiziana Sanavia

MILENA MARIA MAULE

Tiziana Crepaldi

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