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TITLE: Improving eQTL Analysis Using a Machine Learning Approach for Data Integration: A Logistic Model Tree Solution
AUTHORS: Stefano Beretta; Mauro Castelli; Ivo Gonçalves ; Ivan Kel; Valentina Giansanti; Ivan Merelli;
PUBLISHED: 2018, SOURCE: JOURNAL OF COMPUTATIONAL BIOLOGY, VOLUME: 25, ISSUE: 10
INDEXED IN: Scopus WOS CrossRef
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TITLE: Improving eQTL Analysis Using a Machine Learning Approach for Data Integration: A Logistic Model Tree Solution
AUTHORS: Stefano Beretta; Mauro Castelli; Ivo Gonçalves; Ivan Kel; Valentina Giansanti; Ivan Merelli;
PUBLISHED: 2018, SOURCE: J. Comput. Biol., VOLUME: 25, ISSUE: 10
INDEXED IN: DBLP
5
TITLE: Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks PDF
AUTHORS: Stefano Beretta; Mauro Castelli; Ivo Gonçalves; Ivan Merelli; Daniele Ramazzotti;
PUBLISHED: 2017, SOURCE: CoRR, VOLUME: abs/1703.03041
INDEXED IN: DBLP arXiv
7
TITLE: A Machine Learning Approach for the Integration of miRNA-target Predictions
AUTHORS: Stefano Beretta; Mauro Castelli; Yuliana Martinez; Luis Munoz; Sara Silva; Leonardo Trujillo; Luciano Milanesi; Ivan Merelli;
PUBLISHED: 2016, SOURCE: 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) in 2016 24TH EUROMICRO INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, AND NETWORK-BASED PROCESSING (PDP)
INDEXED IN: Scopus WOS CrossRef
8
TITLE: Parameterized tractability of the maximum-duo preservation string mapping problem  Full Text
AUTHORS: Stefano Beretta; Mauro Castelli; Riccardo Dondi;
PUBLISHED: 2016, SOURCE: THEORETICAL COMPUTER SCIENCE, VOLUME: 646
INDEXED IN: WOS
10
TITLE: Parameterized tractability of the maximum-duo preservation string mapping problem (vol 646, pg 16, 2016)  Full Text
AUTHORS: Stefano Beretta; Mauro Castelli; Riccardo Dondi;
PUBLISHED: 2016, SOURCE: THEORETICAL COMPUTER SCIENCE, VOLUME: 653
INDEXED IN: WOS
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