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

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

발 2023-12-17 09:19:31 독서 시간: null

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출처blog.csdn.net/adsdasdasdahj/article/details/130429010

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

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

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

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

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

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

MMGCN: Application of multi-view multi-channel attention map convolutional network in prediction of association between miRNA and disease (Briefings in Bioinformatics)

GMDA: Kombination von paarweiser Nachbarschaftstopologie und miRNA-Familie sowie Clustering-Attributen für die Vorhersage von miRNA-Krankheitsassoziationen (Briefings in Bioinformatics)

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

샘다: 적층된 오토인코더를 기반으로 잠재적인 miRNA-질병 상관관계 예측(Briefings in Bioinformatics)

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

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

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)

SAEMDA: Vorhersage potenzieller miRNA-Krankheitskorrelationen basierend auf gestapelten Autoencodern (Briefings in Bioinformatics)

SAEMDA: Vorhersage potenzieller miRNA-Krankheitskorrelationen basierend auf gestapelten Autoencodern (Briefings in Bioinformatics)

HGANMDA: Hierarchical Graph Attention Network (Molecular Therapy) for miRNA and Disease Association Prediction

miRNA의 분석 - 데이터 필터 (a)

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

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

miRNA의 분석 - 예측 된 표적 유전자 (c)

多域--One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction

miRNA의 튜토리얼 소프트웨어 미란다의 결합 부위 예측

HGANMDA: miRNA 및 질병 연관 예측을 위한 계층적 그래프 주의 네트워크(분자 치료)

Bioinformatics/Microbiome 저널 추천: Bioinformatics

[Paper Reading] DAE-GCN: Identifying Disease-Related Features for Disease Prediction

sklearn 中的 pairwise_distance

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