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Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism.

, , , and . BMC Bioinform., 11 (S-1): 31 (2010)

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Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices., , , and . KDD, page 1875-1884. ACM, (2016)Correction: DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction., , , , , , and . BMC Bioinform., 23 (1): 349 (2022)Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism., , , and . BMC Bioinform., 11 (S-1): 31 (2010)DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction., , , , , , and . BMC Bioinform., 21-S (3): 63 (April 2020)Regression with interval output values., , , and . ICPR, page 1-4. IEEE Computer Society, (2008)A Branch-and-Bound Approach to Efficient Classification and Retrieval of Documents., , and . ICPRAM, page 205-214. SCITEPRESS, (2024)Context-Aware Latent Dirichlet Allocation for Topic Segmentation., , , and . PAKDD (1), volume 12084 of Lecture Notes in Computer Science, page 475-486. Springer, (2020)A Bayesian Approach to Graphy Regression with Relevant Subgraph Selection., , and . SDM, page 295-304. SIAM, (2009)Matrix Decomposition-based Dimensionality Reduction on Graph Data., and . Graph Data Management, IGI Global, (2011)Graph kernels for chemical informatics, , , and . Neural Netw., 18 (8): 1093--1110 (2005)