Frequent contiguous pattern mining over biological sequences of protein misfolded diseases

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Veröffentlicht in:BMC Bioinformatics Jg. 22
Hauptverfasser: Mohammad Tarequl Islam, Md. Abul Kashem Mia, Mohammad Shamsur Rahman, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Takeshi Koshiba
Format: Journal Article
Sprache:Japanisch
Veröffentlicht: Springer Science and Business Media LLC 11.09.2021
Schlagworte:
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
Online-Zugang:Volltext
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ISSN:1471-2105
DOI:10.1186/s12859-021-04341-y