Namrata Tomar – författare

This reference text analyzes the integrated model of artificial intelligence, deep learning, and cloud computing for various bioinformatic problems including gene signature discovery, rare cell detection, disease classification, and rare disease detection. It discusses biomedical image processing, and deep learning integrated tools for stage detection of critical diseases like cancer.This book:Presents a comparative study of gradient boosted classifier and deep learning classifier for disease classification of multi-omics sequencing data. Showcases biomarker discovery and differential expression analysis in Single-cell RNA sequencing data through the integrated model of data imputation, feature selection, and cell clustering. Explains artificial intelligence, machine learning, and integrated models for DNA methylation and gene expression data analysis, and disease classification. Covers the fundamentals of artificial intelligence, machine learning, deep learning, and cloud computing tools in bioinformatics.Explores the rare cell detection, and transcriptomic analysis in single-cell RNA sequencing. It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.

This book covers a wide range of diverse immunoinformatics research topics, involving tools and databases of potential epitope prediction, HLA gene analysis, MHC characterizing, in silico vaccine design, mathematical modeling of host-pathogen interactions, and network analysis of immune system data. In that way, this fully updated volume explores the enormous value of computational tools and models in immunology research. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key insights and detailed implementation advice to encourage successful results in the lab. Authoritative and practical, Immunoinformatics, Third Edition serves as an ideal guide for scientists working at the intersection of bioinformatics, mathematical modelling, and statistics for the study of immune systems biology.

This book covers a wide range of diverse immunoinformatics research topics, involving tools and databases of potential epitope prediction, HLA gene analysis, MHC characterizing, in silico vaccine design, mathematical modeling of host-pathogen interactions, and network analysis of immune system data.

This volume details comprehensive protocols and methodologies to assess mitochondrial bioenergetics and dynamics in different tissues and cells involving health and pathological states. Chapters guide readers through methods for assessment of the energy metabolism including Oxygen Consumption Rate (OCR), mitochondrial membrane potential, and measuring mitochondrial Ca2+ handling, and ROS emission. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting, and systematic reproducible protocols.  Authoritative and cutting-edge, Mitochondria: Methods and Protocols aims to be a foundation for future studies and to be a source of inspiration for new investigations in the field.

This volume details comprehensive protocols and methodologies to assess mitochondrial bioenergetics and dynamics in different tissues and cells involving health and pathological states. Chapters guide readers through methods for assessment of the energy metabolism including Oxygen Consumption Rate (OCR), mitochondrial membrane potential, and measuring mitochondrial Ca2+ handling, and ROS emission. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting, and systematic reproducible protocols.  Authoritative and cutting-edge, Mitochondria: Methods and Protocols aims to be a foundation for future studies and to be a source of inspiration for new investigations in the field.

At the intersection of experimental and computational sciences, the second edition of Immunoinformatics provides biological insights as well as a simpler way to implement approaches and algorithms in the immunoinformatics research domain.