Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications - Algorithms for Intelligent Systems
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Published By Springer Singapore

9789811524448, 9789811524455

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Impact of Machine Learning in Bioinformatics Research

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications - Algorithms for Intelligent Systems ◽

10.1007/978-981-15-2445-5_4 ◽

2020 ◽

pp. 41-62 ◽

Cited By ~ 1

Author(s):

E. Naresh ◽

B. P. Vijaya Kumar ◽

Ayesha ◽

Sahana P. Shankar

Keyword(s):

Machine Learning

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Single-Cell Multiomics: Dissecting Cancer

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications - Algorithms for Intelligent Systems ◽

10.1007/978-981-15-2445-5_14 ◽

2020 ◽

pp. 289-317

Author(s):

Janani Sambath ◽

Krishna Patel ◽

Sewanti Limaye ◽

Prashant Kumar

Keyword(s):

Single Cell

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Supervised Techniques in Proteomics

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications - Algorithms for Intelligent Systems ◽

10.1007/978-981-15-2445-5_12 ◽

2020 ◽

pp. 189-211

Author(s):

Vasireddy Prabha Kiranmai ◽

G. M. Siddesh ◽

S. R. Manisekhar

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Introduction to Bioinformatics

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications - Algorithms for Intelligent Systems ◽

10.1007/978-981-15-2445-5_1 ◽

2020 ◽

pp. 3-9

Author(s):

S. R. Manisekhar ◽

G. M. Siddesh ◽

Sunilkumar S. Manvi

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Computational Methods Used in Prediction of Protein Structure

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications - Algorithms for Intelligent Systems ◽

10.1007/978-981-15-2445-5_8 ◽

2020 ◽

pp. 119-133

Author(s):

Poulami Majumder

Keyword(s):

Protein Structure ◽

Computational Methods

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A Study on Protein Structure Prediction

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications - Algorithms for Intelligent Systems ◽

10.1007/978-981-15-2445-5_7 ◽

2020 ◽

pp. 95-118

Author(s):

Biboshan Banerjee ◽

G. M. Siddesh ◽

K. G. Srinivasa

Keyword(s):

Protein Structure ◽

Protein Structure Prediction ◽

Structure Prediction

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Open-Source Software Tools for Bioinformatics

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications - Algorithms for Intelligent Systems ◽

10.1007/978-981-15-2445-5_6 ◽

2020 ◽

pp. 75-91

Author(s):

T. Gururaj ◽

A. P. Pavithra

Keyword(s):

Open Source ◽

Open Source Software ◽

Software Tools

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Machine Learning for Bioinformatics

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications - Algorithms for Intelligent Systems ◽

10.1007/978-981-15-2445-5_3 ◽

2020 ◽

pp. 25-39

Author(s):

K. Aditya Shastry ◽

H. A. Sanjay

Keyword(s):

Machine Learning

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Review About Bioinformatics, Databases, Sequence Alignment, Docking, and Drug Discovery

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications - Algorithms for Intelligent Systems ◽

10.1007/978-981-15-2445-5_2 ◽

2020 ◽

pp. 11-23

Author(s):

P. Lakshmi ◽

D. Ramyachitra

Keyword(s):

Drug Discovery ◽

Sequence Alignment ◽

Bioinformatics Databases

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Visualizing Codon Usage Within and Across Genomes: Concepts and Tools

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications - Algorithms for Intelligent Systems ◽

10.1007/978-981-15-2445-5_13 ◽

2020 ◽

pp. 213-288

Author(s):

Bohdan Ostash ◽

Maria Anisimova

Keyword(s):

Codon Usage

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Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications - Algorithms for Intelligent SystemsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Singapore

Impact of Machine Learning in Bioinformatics Research

Single-Cell Multiomics: Dissecting Cancer

Supervised Techniques in Proteomics

Introduction to Bioinformatics

Computational Methods Used in Prediction of Protein Structure

A Study on Protein Structure Prediction

Open-Source Software Tools for Bioinformatics

Machine Learning for Bioinformatics

Review About Bioinformatics, Databases, Sequence Alignment, Docking, and Drug Discovery

Visualizing Codon Usage Within and Across Genomes: Concepts and Tools

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications - Algorithms for Intelligent Systems
Latest Publications