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Accurate Classification of Protein Structural Families Using Coherent Subgraph Analysis. from books.google.com
clude that in order to achieve the highest accuracy in finding protein family specific signatures , AD graphs ... subgraph mining algorithm that repeatedly increases the parameter € in the AD until it has found the maximum number of the fam- ...
Accurate Classification of Protein Structural Families Using Coherent Subgraph Analysis. from books.google.com
... Accurate classification of protein structural families using coherent subgraph analysis . In Proceedings of PSB ( pp ... Using the structure of Web sites for automatic segmentation of tables . In Proceedings of ACM SIGMOD ( pp ...
Accurate Classification of Protein Structural Families Using Coherent Subgraph Analysis. from books.google.com
... protein structure classification . We use frequent itemset mining approach to build the structural ... accurate and efficient . As a future work , we can further assess the ... analysis . Nucleic Acids Research , 28 : 254-256 , 2000 ...
Accurate Classification of Protein Structural Families Using Coherent Subgraph Analysis. from books.google.com
Key introductory text for graduate students and researchers in physics, biology and biochemistry.
Accurate Classification of Protein Structural Families Using Coherent Subgraph Analysis. from books.google.com
As a volume of the highly successful Methods in Molecular BiologyTM series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.
Accurate Classification of Protein Structural Families Using Coherent Subgraph Analysis. from books.google.com
Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.
Accurate Classification of Protein Structural Families Using Coherent Subgraph Analysis. from books.google.com
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks.
Accurate Classification of Protein Structural Families Using Coherent Subgraph Analysis. from books.google.com
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP).