Frequent contiguous pattern mining over biological sequences of protein misfolded diseases

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Vydané v:	BMC Bioinformatics Ročník 22
Hlavní autori:	Mohammad Tarequl Islam, Md. Abul Kashem Mia, Mohammad Shamsur Rahman, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Takeshi Koshiba
Médium:	Journal Article
Jazyk:	Japanese
Vydavateľské údaje:	Springer Science and Business Media LLC 11.09.2021
Predmet:	Amino acid Amino Acid Composition Amino Acid Sequence Amino Acids Approximate Matching Artificial Intelligence Association rule Biochemistry Biochemistry, Genetics and Molecular Biology Bioinformatics Biology Biology (General) Computational biology Computer applications to medicine. Medical informatics Computer Science Data Mining Techniques and Applications Disease FOS: Biological sciences FOS: Computer and information sciences Frequent pattern Frequent Patterns Genetics Humans Information Systems Life Sciences Molecular Biology Physical Sciences Prediction of Protein Subcellular Localization Protein folding Protein misfolding Protein sequence Protein structure Protein structure prediction Proteins QH301-705.5 R858-859.7 Retinitis Pigmentosa Rhodopsin Sequential Patterns Text Compression and Indexing Algorithms
ISSN:	1471-2105
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Popis
ISSN:	1471-2105
DOI:	10.1186/s12859-021-04341-y