Objective Clustering Inductive Technology of Gene Expression Sequences Features

Author:

Babichev Sergii,Lytvynenko Volodymyr,Korobchynskyi Maxim,Taiff Mochamed Ali

Publisher

Springer International Publishing

Reference20 articles.

1. Machine learning school of computing university of eastern finland. Clustering datasets. https://cs.joensuu.fi/sipu/datasets/

2. Babichev, S.A., Kornelyuk, A.I., Lytvynenko, V.I., Osypenko, V.: Computational analysis of microarray gene expression profiles of lung cancer. Biopolymers Cell 32(1), 70–79 (2016). http://biopolymers.org.ua/content/32/1/070/

3. Babichev, S., Taif, M.A., Lytvynenko, V.: Filtration of dna nucleotide gene expression profiles in the systems of biological objects clustering. Int. Front. Sci. Lett. 8, 1–8 (2016). https://www.scipress.com/IFSL.8.1

4. Babichev, S., Taif, M.A., Lytvynenko, V.: Inductive model of data clustering based on the agglomerative hierarchical algorithm. In: Proceeding of the 2016 IEEE First International Conference on Data Stream Mining and Processing (DSMP), pp. 19–22 (2016). http://ieeexplore.ieee.org/document/7583499/

5. Beer, D.G., Kardia, S.L., et al.: Gene-expression profiles predict survival of patients with lung adenocarcinoma. Nat. Med. 8(8), 816–824 (2002). http://www.nature.com/nm/journal/v8/n8/full/nm733.html

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