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In BMC bioinformatics
Zhu Mengmeng, Gribskov Michael
Coding, Machine learning, Micropeptide, Noncoding, Small ORF, lncRNA, sORF, smORF
Chen Zhihua, Wang Xinke, Gao Peng, Liu Hongju, Song Bosheng
heterogeneous network, link prediction, machine learning, miRNA, network embedding, topology information
Chang Buru, Choi Yonghwa, Jeon Minji, Lee Junhyun, Han Kyu-Man, Kim Aram, Ham Byung-Joo, Kang Jaewoo
antidepressant response prediction, major depressive disorder, neural network, patient representation
In-Silico Molecular Binding Prediction for Human Drug Targets Using Deep Neural Multi-Task Learning.
Lee Kyoungyeul, Kim Dongsup
deep learning, in-silico bioactivity prediction, multi-task learning, virtual screening
In International journal of environmental research and public health
Aguilera José Joaquín, Andersen Rune Korsholm, Toftum Jørn
indoor temperature, machine learning, thermal comfort, user feedback
Predictors of adherence to nicotine replacement therapy: Machine learning evidence that perceived need predicts medication use.
In Drug and alcohol dependence
Kim Nayoung, McCarthy Danielle E, Loh Wei-Yin, Cook Jessica W, Piper Megan E, Schlam Tanya R, Baker Timothy B
Adherence, Classification tree, Nicotine dependence, Nicotine replacement therapy, Smoking cessation