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Prediction of chemical compounds properties using a deep learning model.

, , , , , and . Neural Comput. Appl., 33 (20): 13345-13366 (2021)

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Supervised Statistical and Machine Learning Approaches to Inferring Pairwise and Module-Based Protein Interaction Networks., , , and . BIBE, page 1365-1369. IEEE Computer Society, (2007)Toxicity Prediction Using Pre-trained Autoencoder., , , , and . BIBM, page 299-304. IEEE Computer Society, (2018)Minimum dominating sets in cell cycle specific protein interaction networks., , , and . BIBM, page 25-30. IEEE Computer Society, (2014)An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions., , , and . J. Integr. Bioinform., (2006)A Phylogeny-aware Feature Ranking for Classification of Cattle Rumen Microbiome., , , , , , , and . BIBM, page 1900-1906. IEEE, (2019)Analysis of rumen microbial community in cattle through the integration of metagenomic and network-based approaches., , , , , , , and . BIBM, page 198-203. IEEE Computer Society, (2016)A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networks., , , and . Comput. Biol. Medicine, 40 (3): 306-317 (2010)Data-Driven Classifiers for Predicting Grass Growth in Northern Ireland: A Case Study., , , , and . IPMU (1), volume 1237 of Communications in Computer and Information Science, page 301-312. Springer, (2020)Multi-view fuzzy information fusion in collaborative filtering recommender systems: Application to the urban resilience domain., , and . Data Knowl. Eng., (2018)Proceed with Care: Reimagining Home IoT Through a Care Perspective., , , and . CHI, page 166:1-166:15. ACM, (2021)