Statistical modelling and machine learning principles for bioinformatics techniques, tools, and applications. (2020)

• Record Type: Book
• Further Information: Note: K.G. Srinivasa, G.M. Siddesh, S.R. Manisekhar, editors.
• Editors: Srinivasa, K. G; Siddesh, G. M, 1981-; Manisekhar, S. R
• Contents: Part 1: Bioinformatics -- Chapter 1. Introduction to Bioinformatics -- Chapter 2. Review about Bioinformatics, Databases, Sequence Alignment, Docking and Drug Discovery -- Chapter 3. Machine Learning for Bioinformatics -- Chapter 4. Impact of Machine Learning in Bioinformatics Research.-Chapter 5. Text-mining in Bioinformatics -- Chapter 6. Open Source Software Tools for Bioinformatics -- Part 2: Protein Structure Prediction and Gene Expression Analysis -- Chapter 7. A Study on Protein Structure Prediction -- Chapter 8. Computational Methods Used in Prediction of Protein Structure -- Chapter 9. Computational Methods for Inference of Gene Regulatory Networks from Gene Expression Data -- Chapter 10. Machine Learning Algorithms for Feature Selection from Gene Expression Data -- Part 3: Genomics and Proteomics -- Chapter 11. Unsupervised Techniques in Genomics -- Chapter 12. Supervised Techniques in Proteomics -- Chapter 13. Visualizing Codon Usage Within and Across Genomes: Concepts and Tools -- Chapter 14. Single-Cell Multiomics: Dissecting Cancer.
• Publisher Details: Singapore : Springer
• Publication Date: 2020
• Extent: 1 online resource (318 pages)
• Subjects: 570.285; Computational biology; Bioinformatics; Machine learning; Bioinformatics; Computational biology; Machine learning; Electronic books; Electronic books
• Languages: English
• ISBNs: 9789811524455; 9811524459; 9811524440; 9789811524448; 9789811524462; 9811524467; 9789811524479; 9811524475
• Related ISBNs: 9789811524448
• Notes: Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.