Work

SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins

Year: 2022

Type: article

Source: Computers in Biology and Medicine

DOI: 10.1016/j.compbiomed.2022.105704

Authors: Phasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, Pietro Lio’, Balachandran Manavalan, Watshara Shoombuatong

Institutions: Chiang Mai University, Mahidol University, The University of Queensland, University of Cambridge, Sungkyunkwan University

Language: English

Topic: Machine Learning in Bioinformatics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: closed

Funders: Institute for Tropical and Subtropical Crops, Agricultural Research Council, Chiang Mai University, Ministry of Science, ICT and Future Planning, National Research Foundation of Korea, Mahidol University

Award: G4007056356

OpenAlex ID: W4281921162

FWCI: 3.796

Cites: 59

Cited by: 57

Related to: 10