E-grāmata: Reverse Engineering of Regulatory Networks

Molecular Modeling Techniques and in-Silico Drug Discovery.- Systems
Biology Approach to Analyse Microarray Datasets for Identification of
Disease-Causing Genes: Case Study of Oral Squamous cell
Carcinoma.- Fluorescence Spectroscopy: A Useful Method to Explore the
Interactions of Small Molecule Ligands with DNA Structures.- Inference of
Dynamic Growth Regulatory Network in Cancer Using high-Throughput
Transcriptomic Data.- Implementation of Exome Sequencing to Identify Rare
Genetic Diseases.- Emerging Trends in Big Data Analysis in Computational
Biology and Bioinformatics in Health Informatics: A Case Study on Epilepsy
and Seizures.- New Insights into Clinical Management for Sickle-Cell Disease:
Uncovering the Significance Pathways Affected By the Involvement of Sickle
Cell Disease.- A Review on Computational Approach for S-system Based Modeling
of Gene Regulatory Network.- Big Data in Bioinformatics and Computational
Biology: Basic Insights.- Identification of Culprit Genes for Different
Diseases by Analysing Microarray Data.- Big Data Analysis in Computational
Biology and Bioinformatics.- Prediction and Analysis of Transcription Factor
Binding Sites to Understand Gene Regulation: Practical Examples and Case
Studies using R Programming.- Hubs and Bottlenecks in Protein-Protein
Interaction Networks.- Next-Generation Sequencing to Study the DNA
Interaction Nac Deep Learning for Predicting Gene Regulatory Networks: A
Step-by-Step Protocol in R.- Deep Learning for Predicting Gene Regulatory
Networks: A Step-by-Step Protocol in R.- Computational inference of Gene
Regulatory Network using genome-wide ChIP-X data.- Reverse Engineering in
Biotechnology: The Role of Genetic Engineering in Synthetic Biology.