KR-NSSM: Predicting potential miRNA-disease associations based on more reliable negative sample selection (BMC Bioinformatics) - Code World

KR-NSSM: Predicting potential miRNA-disease associations based on more reliable negative sample selection (BMC Bioinformatics)

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KR-NSSM: Predicting potential miRNA-disease associations based on more reliable negative sample selection (BMC Bioinformatics)

SAEMDA: Prediction of potential miRNA-disease correlations based on stacked autoencoders (Briefings in Bioinformatics)

MDA-CNN: Learning-based neural network miRNA-disease association identification framework (Bioinformatics)

KR-NSSM: Прогнозирование потенциальных связей между микроРНК и заболеваниями на основе более надежного отбора отрицательных образцов (BMC Bioinformatics)

MKGAT: miRNA-disease association prediction based on graph attention network and double Laplacian regularized least squares (Briefings in Bioinformatics)

GMDA: Combining pairwise neighborhood topology and miRNA family and clustering attributes for miRNA-disease association prediction (Briefings in Bioinformatics)

ERMDA: An ensemble learning framework based on resampling to predict the association between miRNA and disease (Briefings in Bioinformatics)

SGAEMDA: miRNA-disease association prediction (cells) based on stacked graph autoencoders

Feature selection methods for big data bioinformatics: a search-based perspective

DAEMKL: Multi-kernel learning-based deep autoencoder predicts miRNA-disease association (IEEE Transactions on Neural Networks and Learning Systems)

VGAMF: miRNA-disease association prediction based on multi-view variational graph autoencoders and matrix factorization (IEEE Journal of Biomedical and Health Informatics)

KR-NSSM: 보다 신뢰할 수 있는 음성 시료 선택을 기반으로 잠재적인 miRNA-질병 연관성 예측(BMC Bioinformatics)

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KR-NSSM: より信頼性の高いネガティブサンプル選択に基づいて潜在的な miRNA と疾患の関連性を予測 (BMC Bioinformatics)

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