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iAMP-CA2L: a new CNN-BiLSTM-SVM classifier based on cellular automata image for identifying antimicrobial peptides and their functional types [2021]

Xuan Xiao; Yu-Tao Shao; Xiang Cheng; Biljana Stamatovic

An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction [2021]

Yang, Yang; Walker, Timothy M.; Kouchaki, Samaneh; Wang, Chenyang; Peto, Timothy E. A.; Crook, Derrick W.; Clifton, David A.; Cryptic consortium; ...; Aranđelović, Irena ;

...;

Bottlenecks in advancing and applying multiomic data integration—common data resources as rate-limiting drivers—the high-impact use case of atherosclerotic cardiovascular disease [2025]

Bezzina Wettinger, Stephanie; Karaduzović-Hadžiabdić, Kanita; Attard, Ritienne; Farrugia, Rosienne; Wolford, Brooke N.; Chierici, Marco; Jurman, Giuseppe; Alexiou, Panagiotis; Peñalvo, José L.; Costa , Rafael S.;

Basílio, José; Sabovčik, František; Vitorino, Rui; Schmid, Johannes A.; Shigdel, Rajesh; Vilne, Baiba; Hatzigeorgiou, Artemis G.; Sopić, Miron ; Devaux , Yvan; Magni, Paolo; Tellez-Plaza, Maria; Kreil, David P.; Gruca, Aleksandra;

iAMP-CA2L: a new CNN-BiLSTM-SVM classifier based on cellular automata image for identifying antimicrobial peptides and their functional types [2021]

An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction [2021]

Bottlenecks in advancing and applying multiomic data integration—common data resources as rate-limiting drivers—the high-impact use case of atherosclerotic cardiovascular disease [2025]

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