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Ultrasonics Sonochemistry
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July 19, 2015
One-pot sonochemical synthesis of ferrocenyl derivatives via a three-component reaction in aqueous media
Luca Cappelletti, Luca Vaghi, Laura Rinaldi, et al.
BMC Bioinformatics
|
December 12, 2022
Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques
Luca Cappelletti, Alessandro Petrini, Jessica Gliozzo, et al.
Gigascience
|
May 24, 2020
parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants
Alessandro Petrini, Marco Mesiti, Max Schubach, et al.
Nature Computational Science
|
January 4, 2024
GRAPE for fast and scalable graph processing and random-walk-based embedding
Luca Cappelletti, Tommaso Fontana, Elena Casiraghi, et al.
IEEE Access : Practical Innovations, Open Solutions
|
November 23, 2021
Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments
Elena Casiraghi, Dario Malchiodi, Gabriella Trucco, et al.
Biorxiv : the Preprint Server for Biology
|
August 26, 2020
KG-COVID-19: a framework to produce customized knowledge graphs for COVID-19 response
Justin Reese, Deepak Unni, Tiffany J Callahan, et al.
ACS Central Science
|
April 1, 2024
A Sample-Centric and Knowledge-Driven Computational Framework for Natural Products Drug Discovery
Arnaud Gaudry, Marco Pagni, Florence Mehl, et al.
Bioorganic & Medicinal Chemistry
|
February 21, 2012
Synthesis and in vitro study of novel neuraminidase inhibitors against avian influenza virus
Jarinrat Kongkamnerd, Luca Cappelletti, Adolfo Prandi, et al.
NAR Genomics and Bioinformatics
|
December 10, 2021
Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer
Vida Ravanmehr, Hannah Blau, Luca Cappelletti, et al.
Bioinformatics Advances
|
April 5, 2024
Node-degree aware edge sampling mitigates inflated classification performance in biomedical random walk-based graph representation learning
Luca Cappelletti, Lauren Rekerle, Tommaso Fontana, et al.
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Search research articles
Search
Showing results (1-10 of 19) with videos related to
Sort By:
Page
of 2
Ultrasonics Sonochemistry
|
July 19, 2015
One-pot sonochemical synthesis of ferrocenyl derivatives via a three-component reaction in aqueous media
Luca Cappelletti, Luca Vaghi, Laura Rinaldi, et al.
BMC Bioinformatics
|
December 12, 2022
Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques
Luca Cappelletti, Alessandro Petrini, Jessica Gliozzo, et al.
Gigascience
|
May 24, 2020
parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants
Alessandro Petrini, Marco Mesiti, Max Schubach, et al.
Nature Computational Science
|
January 4, 2024
GRAPE for fast and scalable graph processing and random-walk-based embedding
Luca Cappelletti, Tommaso Fontana, Elena Casiraghi, et al.
IEEE Access : Practical Innovations, Open Solutions
|
November 23, 2021
Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments
Elena Casiraghi, Dario Malchiodi, Gabriella Trucco, et al.
Biorxiv : the Preprint Server for Biology
|
August 26, 2020
KG-COVID-19: a framework to produce customized knowledge graphs for COVID-19 response
Justin Reese, Deepak Unni, Tiffany J Callahan, et al.
ACS Central Science
|
April 1, 2024
A Sample-Centric and Knowledge-Driven Computational Framework for Natural Products Drug Discovery
Arnaud Gaudry, Marco Pagni, Florence Mehl, et al.
Bioorganic & Medicinal Chemistry
|
February 21, 2012
Synthesis and in vitro study of novel neuraminidase inhibitors against avian influenza virus
Jarinrat Kongkamnerd, Luca Cappelletti, Adolfo Prandi, et al.
NAR Genomics and Bioinformatics
|
December 10, 2021
Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer
Vida Ravanmehr, Hannah Blau, Luca Cappelletti, et al.
Bioinformatics Advances
|
April 5, 2024
Node-degree aware edge sampling mitigates inflated classification performance in biomedical random walk-based graph representation learning
Luca Cappelletti, Lauren Rekerle, Tommaso Fontana, et al.
Page
of 2