Machine Learning of Microbial Interactions Using Abductive ILP and Hypothesis Frequency/Compression Estimation

Author:

Barroso-Bergada Didac,Tamaddoni-Nezhad Alireza,Muggleton Stephen H.,Vacher Corinne,Galic Nika,Bohan David A.

Publisher

Springer International Publishing

Reference21 articles.

1. Amini, A., Muggleton, S.H., Lodhi, H., Sternberg, M.J.E.: A novel logic-based approach for quantitative toxicology prediction. J. Chem. Inf. Model. 47(3), 998–1006 (2007). https://doi.org/10.1021/ci600223d

2. Bryant, C.H., Muggleton, S.H., Oliver, S.G., Kell, D.B., Reiser, P., King, R.D.: Combining inductive logic programming, active learning and robotics to discover the function of genes. Electron. Trans. Artif. Intell. 6, 1–36 (2001)

3. Derocles, S.A., et al.: Chapter one - biomonitoring for the 21st century: integrating next-generation sequencing into ecological network analysis. In: Advances in Ecological Research, vol. 58. Academic Press (2018). https://doi.org/10.1016/bs.aecr.2017.12.001

4. Efron, B., Tibshirani, R.J.: An Introduction to the Bootstrap. No. 57 in Monographs on Statistics and Applied Probability, Chapman & Hall/CRC, Boca Raton, Florida, USA (1993)

5. Faust, K., Raes, J.: Microbial interactions: from networks to models. Nat. Rev. Microbiol. 10, 538–550 (2012). https://doi.org/10.1038/nrmicro2832

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