Pubblicazioni

Selection of stable reference genes in prunus persica fruit infected with monilinia laxa for normalisation of RT-qPCR gene expression data

2025 - SCIENTIFIC REPORTS

Lizzio, Agata; Battaglia, Valerio; Lahoz, Ernesto; Reverberi, Massimo; Petriccione, Milena

Alzheimerâs disease: insights from a network medicine perspective

2022 - SCIENTIFIC REPORTS

Conte, F.; Paci, P.

Development and testing of diagnostic algorithms to identify patients with acromegaly in Southern Italian claims databases

2022 - SCIENTIFIC REPORTS

Crisafulli, Salvatore; Fontana, Andrea; L'Abbate, Luca; Ientile, Valentina; Gianfrilli, Daniele; Cozzolino, Alessia; De Martino, Maria Cristina; Ragonese, Marta; Sultana, Janet; Barone-Adesi, Francesco; TrifirÃ², Gianluca

AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning

2022 - SCIENTIFIC REPORTS

Charoenkwan, P.; Ahmed, S.; Nantasenamat, C.; Quinn, J. M. W.; Moni, M. A.; Lio, P.; Shoombuatong, W.

StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy

2022 - SCIENTIFIC REPORTS

Schaduangrat, N.; Anuwongcharoen, N.; Moni, M. A.; Lio, P.; Charoenkwan, P.; Shoombuatong, W.

Pubblicazioni

Selection of stable reference genes in prunus persica fruit infected with monilinia laxa for normalisation of RT-qPCR gene expression data

Alzheimerâs disease: insights from a network medicine perspective

Development and testing of diagnostic algorithms to identify patients with acromegaly in Southern Italian claims databases

AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning

StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy

Alzheimerâs disease: insights from a network medicine perspective