Alberto Paccanaro

Alberto Paccanaro

Royal Holloway, University of London

H-index: 28

Europe-United Kingdom

About Alberto Paccanaro

Alberto Paccanaro, With an exceptional h-index of 28 and a recent h-index of 23 (since 2020), a distinguished researcher at Royal Holloway, University of London, specializes in the field of Bioinformatics, Computational biology, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins

LanDis: the disease landscape explorer

A method for comparing multiple imputation techniques: A case study on the US national COVID cohort collaborative

Machine learning prediction of side effects for drugs in clinical trials

Constraining Non-Negative Matrix Factorization to Improve Signature Learning

Machine learning and network medicine approaches for drug repositioning for COVID-19

Comparison of early integration approaches for cancer survival prediction

Heterogeneous data integration methods for patient similarity networks

Alberto Paccanaro Information

University

Position

Professor at

Citations(all)

10404

Citations(since 2020)

3505

Cited By

8457

hIndex(all)

28

hIndex(since 2020)

23

i10Index(all)

36

i10Index(since 2020)

33

Email

University Profile Page

Royal Holloway, University of London

Google Scholar

View Google Scholar Profile

Alberto Paccanaro Skills & Research Interests

Bioinformatics

Computational biology

Machine Learning

Top articles of Alberto Paccanaro

Title

Journal

Author(s)

Publication Date

Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins

Marco Nicolini

Dario Malchiodi

Alberto Cabri

Emanuele Cavalleri

Marco Mesiti

...

2024

LanDis: the disease landscape explorer

Alberto Paccanaro

Horacio Caniza

Juan Cáceres

Mateo Torres

2023/8/28

A method for comparing multiple imputation techniques: A case study on the US national COVID cohort collaborative

Journal of Biomedical Informatics

Elena Casiraghi

Rachel Wong

Margaret Hall

Ben Coleman

Marco Notaro

...

2023/3/1

Machine learning prediction of side effects for drugs in clinical trials

Alberto Paccanaro

Diego Galeano

2023

Constraining Non-Negative Matrix Factorization to Improve Signature Learning

Aldo Galeano

Suzana Santos

Ruben Jimenez

Alberto Paccanaro

2023/10/13

Machine learning and network medicine approaches for drug repositioning for COVID-19

Patterns

Suzana de Siqueira Santos

Mateo Torres

Diego Galeano

María del Mar Sánchez

Luca Cernuzzi

...

2022/1/14

Comparison of early integration approaches for cancer survival prediction

M Gnuva

J Gliozzo

A Paccanaro

G Valentini

E Casiraghi

2022

Heterogeneous data integration methods for patient similarity networks

Jessica Gliozzo

Marco Mesiti

Marco Notaro

Alessandro Petrini

Alex Patak

...

2022/7/18

Unlike chloroquine, mefloquine inhibits SARS-CoV-2 infection in physiologically relevant cells

Viruses

Carolina Q Sacramento

Natalia Fintelman-Rodrigues

Suelen SG Dias

Jairo R Temerozo

Aline de Paula D Da Silva

...

2022/2/11

Interpretable Drug Target Predictions using Self-Expressiveness

bioRxiv

Diego Galeano

Santiago Noto

Ruben Jimenez

Alberto Paccanaro

2021/3/2

Protein function prediction for newly sequenced organisms

Nature Machine Intelligence

Mateo Torres

Haixuan Yang

Alfonso E Romero

Alberto Paccanaro

2021/12

A recommender system approach for predicting effective antivirals

Rafael Adorno

Diego Galeano

DH Stalder

Luca Cernuzzi

Alberto Paccanaro

2021/10/25

The Great Deceiver: miR-2392's Hidden Role in Driving SARS-CoV-2 Infection (preprint)

J Tyson McDonald

Francisco Javier Enguita

Richard A Bowen

Robert J Griffin

Waldemar Priebe

...

2021

Role of miR-2392 in driving SARS-CoV-2 infection

Cell reports

J Tyson McDonald

Francisco J Enguita

Deanne Taylor

Robert J Griffin

Waldemar Priebe

...

2021/10/19

Computational Approaches to Assist Drug Repositioning for COVID-19

Available at SSRN 3854518

Mateo Torres

Suzana de Siqueira Santos

Diego Galeano

María del Mar Sánchez

Luca Cernuzzi

...

2021/5/27

The great deceiver: miR-2392’s hidden role in driving SARS-CoV-2 infection

bioRxiv

J Tyson McDonald

Francisco Javier Enguita

Deanne Taylor

Richard A Bowen

Robert J Griffin

...

2021/4/23

Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction

Scientific reports

Jessica Gliozzo

Paolo Perlasca

Marco Mesiti

Elena Casiraghi

Viviana Vallacchi

...

2020/2/27

The corrected gene proximity map for analyzing the 3D genome organization using Hi-C data

BMC bioinformatics

Cheng Ye

Alberto Paccanaro

Mark Gerstein

Koon-Kiu Yan

2020/12

LUMI-PCR: an Illumina platform ligation-mediated PCR protocol for integration site cloning, provides molecular quantitation of integration sites

Mobile DNA

Joanna C Dawes

Philip Webster

Barbara Iadarola

Claudia Garcia-Diaz

Marian Dore

...

2020/12

Predicting the frequencies of drug side effects

Nature communications

Diego Galeano

Shantao Li

Mark Gerstein

Alberto Paccanaro

2020/9/11

See List of Professors in Alberto Paccanaro University(Royal Holloway, University of London)