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Reference43 articles.
1. Hutter, M.: Algorithmic information theory. Scholarpedia 2, 2519 (2007)
2. Nalbantoglu, Ö., Russell, D., Sayood, K.: Data compression concepts and algorithms and their applications to bioinformatics. Entropy 12(1), 34–52 (2009). https://doi.org/10.3390/e12010034
3. Silva, M., Pratas, D., Pinho, A.J.: Efficient DNA sequence compression with neural networks. GigaScience 9(11), giaa119 (2020). https://doi.org/10.1093/gigascience/giaa119
4. MacKay, D.J.C., Mac Kay, D.J.C.: Information theory, inference and learning algorithms. Cambridge University Press, Cambridge (2003)
5. Cohen, A.R., Bjornsson, C.S., Temple, S., Banker, G., Roysam, B.: Automatic summarization of changes in biological image sequences using algorithmic information theory. IEEE Trans. Pattern Anal. Mach. Intell. 31(8), 1386–1403 (2009). https://doi.org/10.1109/TPAMI.2008.162