Drug–target interaction prediction using unifying of graph regularized nuclear norm with bilinear factorization
Abstract Background Wet-lab experiments for identification of interactions between drugs and target proteins are time-consuming, costly and labor-intensive. The use of computational prediction of drug–target interactions (DTIs), which is one of the significant points in drug discovery, has been cons...
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Autores principales: | , , , |
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Formato: | article |
Lenguaje: | EN |
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BMC
2021
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Acceso en línea: | https://doaj.org/article/60571230ee8a46e59cc08fa5b83be312 |
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