Lorenzo Madeddu
Lorenzo Madeddu
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graph mining
Predicting Disease Genes for Complex Diseases using Random Watcher-Walker
Developed a deep graph learning model for predicting disease-gene associations. The model jointly learns functional and connectivity patterns using a novel technique based on attributed random walks.
Mar 30, 2020 12:00 AM — 12:00 AM
SAC 2020
Lorenzo Madeddu
,
Giovanni Stilo
,
Paola Velardi
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Predicting disease genes for complex diseases using random watcher-walker
A novel graph deep learning model for predicting disease-gene associations. The model jointly learns functional and connectivity patterns using a novel technique based on attributed random walks.
Lorenzo Madeddu
,
Giovanni Stilo
,
Paola Velardi
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Link
Predicting Disease Genes Using Connectivity and Functional Features
A novel graph deep learning model for predicting disease-gene associations. The model jointly learns functional and connectivity patterns using a novel technique based on attributed random walks. (Conference version)
Lorenzo Madeddu
,
Giovanni Stilo
,
Paola Velardi
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AI for Health and Medicine Intelligent Information Mining - Research Group
A presentation about the current research projects of the lab. As research project for the “AI for Health and Medicine” workshop, I presented the first version of RW², a novel graph deep learning model for predicting disease-gene associations.
Feb 18, 2019 6:05 PM — 6:15 PM
Centro Congressi Auditorium della Tecnica
Lorenzo Madeddu
,
Giovanni Stilo
,
Paola Velardi
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