Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques.

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第一作者： Luca,Cappelletti

第一单位： AnacletoLab, Dipartimento di Informatica, Università degli Studi di Milano, Milan, Italy.

作者： Luca,Cappelletti ^[1] ; Alessandro,Petrini ^[1] ; Jessica,Gliozzo ^[1] ; Elena,Casiraghi ^[1] ; Max,Schubach ^[2] ; Martin,Kircher ^[2] ; Giorgio,Valentini ^[3]

作者单位： AnacletoLab, Dipartimento di Informatica, Università degli Studi di Milano, Milan, Italy. ^[1] Berlin Institute of Health at Charité, Universitätsmedizin Berlin, Berlin, Germany. ^[2] AnacletoLab, Dipartimento di Informatica, Università degli Studi di Milano, Milan, Italy. valentini@di.unimi.it. ^[3] European Laboratory for Learning and Intelligent Systems (ELLIS), Berlin, Germany. valentini@di.unimi.it. ^[4] CINI National Laboratory of Artificial Intelligence and Intelligent Systems (AIIS), Rome, Italy. valentini@di.unimi.it. ^[5] Data Science Research Center, Università degli Studi di Milano, Milan, Italy. valentini@di.unimi.it. ^[6]

关键词 Bayesian optimization Deep learning Neural networks Prediction of cis-regulatory region

主题词人类(Humans);贝叶斯定理(Bayes Theorem);调控序列, 核酸(Regulatory Sequences, Nucleic Acid)

DOI 10.1186/s12859-022-04582-5

PMID 36510125

发布时间 2022-12-21

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