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Identification of Autistic Risk Genes Using Developmental Brain Gene Expression Data.

, , , , , и . ICIC (2), том 12464 из Lecture Notes in Computer Science, стр. 326-338. Springer, (2020)

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Hong Zhu

Hong Zhu

You Huh

You Mahman

Hyunseng You

 

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Multi-level Subgraph Representation Learning for Drug-Disease Association Prediction Over Heterogeneous Biological Information Network., , , , , , и . ICIC (3), том 14088 из Lecture Notes in Computer Science, стр. 156-167. Springer, (2023)iCDA-CGR: Identification of circRNA-disease associations based on Chaos Game Representation., , , , , и . PLoS Comput. Biol., (2020)Distributed Winner-Take-All in Dynamic Networks., , , и . IEEE Trans. Autom. Control., 62 (2): 577-589 (2017)Prediction of protein-protein interactions from amino acid sequences using extreme learning machine combined with auto covariance descriptor., , , , и . Memetic Computing, стр. 80-85. IEEE, (2013)Inferring Disease-Associated Piwi-Interacting RNAs via Graph Attention Networks., , , , и . ICIC (2), том 12464 из Lecture Notes in Computer Science, стр. 239-250. Springer, (2020)WGMFDDA: A Novel Weighted-Based Graph Regularized Matrix Factorization for Predicting Drug-Disease Associations., , , , и . ICIC (3), том 12465 из Lecture Notes in Computer Science, стр. 542-551. Springer, (2020)Precise Prediction of Pathogenic Microorganisms Using 16S rRNA Gene Sequences., , , , , , и . ICIC (2), том 11644 из Lecture Notes in Computer Science, стр. 138-150. Springer, (2019)An Efficient LightGBM Model to Predict Protein Self-interacting Using Chebyshev Moments and Bi-gram., , , , и . ICIC (2), том 11644 из Lecture Notes in Computer Science, стр. 453-459. Springer, (2019)In silico drug repositioning using deep learning and comprehensive similarity measures., , , , , и . BMC Bioinform., 22-S (3): 293 (2021)CAMPEOD: A Cross Attention-Based Multi-Scale Patch Embedding Organoid Detection Model., , , и . BIBM, стр. 1068-1073. IEEE, (2023)