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Weighted, Imputed, Neighbor-regularized matrix TriFactorization, WINTF

[U,S,V]=WINTF(gene_tf, gene_gene_sim, tf_tf_sim, parameters); Y_hat=USV'; %note that Y_hat includes prediction scores for known pairs as well. Y_hat=Y_hat.*(~gene_tf); %removes prediction scores for known pairs.


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REFERENCES [1] Hansaim Lim and Lei Xie. "A New Weighted Imputed Neighborhood-regularized Tri-factorization One-class Collaborative Filtering Algorithm: Application to Target Gene Prediction of Transcription Factors" IEEE/TCBB, 2019. [2] Hansaim Lim and Lei Xie. “Target gene prediction of transcription factor using a new neighborhood-regularized tri-factorization one-class collaborative filtering algorithm” Proceedings in the 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) (2018). [3] Annie Wang, Hansaim Lim (co-first author), Shu-Yuan Cheng, and Lei Xie. “ANTENNA, a multi-rank, multi-layered recommender system for inferring reliable drug-gene-disease associations: repurposing diazoxide as a targeted anti-cancer therapy.” IEEE/ACM Transactions on Computational Biology and Bioinformatics (2018). DOI: 10.1109/TCBB.2018.2812189

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