Association Analysis Techniques and Applications in Bioinformatics

Association Analysis Techniques and Applications in Bioinformatics

Chen, Qingfeng

Springer Verlag, Singapore

04/2024

388

Dura

Inglês

9789819982509

15 a 20 dias

Descrição não disponível.
Chapter1:Computer science for Molecular biology.- Chapter2:Introduction to association analysis.- Chapter3:Introduction to computational linguistics and biology structure.- Chapter4:Matrix decomposition for dimensionality deduction.- Chapter5:Discovering conserved RNA secondary structures with structure similarity.- Chapter6:Gene ontology for non-coding RNAs classification.- Chapter7:Learning frequent sub-structure by graph mining.- Chapter8:Editing distance and its application to biology graph analytics.- Chapter9:Sequence assembly and applications.- Chapter10:Classifying protein structures by measuring structural similarity.- Chapter11:Identification of metabolic pathways with embedding network.- Chapter12:Emerging Knowledge integration-based approach with multi-sources data for bioinformatics.- Chapter13:Conclusion and Future Work.
data mining;association analysis;bioinformatics;structure;network;similarity