Charade
发表于 2025-4-1 05:24:23
Reliability-Based Design Optimizationvel candidate therapeutics and drug repositioning candidates. To elucidate these, we will present two case studies: (1) using transcriptional signature similarity or positive correlation to identify novel small molecules that are similar to an approved drug and (2) identifying candidate therapeutics
知道
发表于 2025-4-1 06:59:26
Analog Circuits in Weak Inversion, potential repositionings. Out of the 1141 drugs with relevant information on their interactions in DrugBank 4.1, we confirm the predicted properties for 85% of the drugs. The high prediction rate of our methodology suggests that, at least for some of the 15% drugs that seem to be inconsistent with
可忽略
发表于 2025-4-1 13:47:46
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Myosin
发表于 2025-4-1 14:46:34
https://doi.org/10.1007/978-3-031-23898-7rces of biological information simultaneously. The Kronecker regularized least squares with multiple kernel learning (KronRLS-MKL) is a machine learning algorithm that aims at integrating heterogeneous information sources into a single chemogenomic space to predict new drug-target interactions. This
600
发表于 2025-4-1 18:38:36
https://doi.org/10.1007/978-3-031-23898-7nent relationships among the millions of relationships suggested to the related researchers for further investigation. The main advantages of Heter-LP are the effective integration of input data, eliminating the need for negative samples, and the use of local and global features together. The main s
extemporaneous
发表于 2025-4-2 02:36:44
https://doi.org/10.1007/978-3-031-23898-7arities. We used DeepWalk, a deep learning method, to calculate the vertex similarities based on Linked Tripartite Network (LTN), which is a heterogeneous network created from different biomedical-linked datasets. The similarities are further used to feed to the inference methods, drug-based similar