This book constitutes the proceedings of the 14th International Conference on Bioinformatics Research and Applications, ISBRA 2018, held in Beijing, China, in June 2018.
The 24 full and 10 short papers presented in this volume were carefully reviewed and selected from a total of 138 submissions. They were organized in topical sections named: network analysis and modelling; genomic data analysis; cancer data analysis; structure and interaction; HPC and CryoEM; machine and deep learning; data analysis and methodology; analysis and visualization tools; and RNA-Seq data analysis.
Network analysis and modeling.- genomic data analysis.- cancer data analysis.- structure and interaction.- HPC and CryoEM.- machine and deep learning.- data analysis and methodology.- analysis and visualization tools.- RNA-Seq data analysis.
This book constitutes the proceedings of the 14th International Conference on Bioinformatics Research and Applications, ISBRA 2018, held in Beijing, China, in June 2018.
The 24 full and 10 short papers presented in this volume were carefully reviewed and selected from a total of 138 submissions. They were organized in topical sections named: network analysis and modelling; genomic data analysis; cancer data analysis; structure and interaction; HPC and CryoEM; machine and deep learning; data analysis and methodology; analysis and visualization tools; and RNA-Seq data analysis.
Inhaltsverzeichnis
Network analysis and modeling.- genomic data analysis.- cancer data analysis.- structure and interaction.- HPC and CryoEM.- machine and deep learning.- data analysis and methodology.- analysis and visualization tools.- RNA-Seq data analysis.
Klappentext
This book constitutes the proceedings of the 14th International Conference on Bioinformatics Research and Applications, ISBRA 2018, held in Beijing, China, in June 2018.
The 24 full and 10 short papers presented in this volume were carefully reviewed and selected from a total of 138 submissions. They were organized in topical sections named: network analysis and modelling; genomic data analysis; cancer data analysis; structure and interaction; HPC and CryoEM; machine and deep learning; data analysis and methodology; analysis and visualization tools; and RNA-Seq data analysis.
