Tapas Mukhopadhyay's Books

p53 Suppressor Gene

By: Tapas Mukhopadhyay,Steven A. Maxwell,Jack A. Roth

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p53 Suppressor Gene

By: Tapas Mukhopadhyay,Steven A. Maxwell,Jack A. Roth

This book is about the p53 gene, one of the most frequently mutated or deleted genes in human cancers. The frequent occurrence of inactivated p53 implicates this gene product in the genesis of many human cancers. The p53 gene can suppress the growth of cancer cells and the transformation process by oncogenes. The p53 protein is a transcription factor that can repress or activate promoters containing one of three p53 DNA-binding motifs. The activity of p53 is regulated by phosphorylation and other transcription factors. Replacement of the p53 function or restoration of the p53 biochemical pathway is a focus of gene therapy.

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Page Count

189

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3662222752

ISBN 13

9783662222751

An Introduction to Bayesian Analysis

Theory and Methods

By: Jayanta K. Ghosh,Mohan Delampady,Tapas Samanta

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An Introduction to Bayesian Analysis

Theory and Methods

By: Jayanta K. Ghosh,Mohan Delampady,Tapas Samanta

This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory, methods, and applications. Starting from basic statistics, undergraduate calculus and linear algebra, ideas of both subjective and objective Bayesian analysis are developed to a level where real-life data can be analyzed using the current techniques of statistical computing. Advances in both low-dimensional and high-dimensional problems are covered, as well as important topics such as empirical Bayes and hierarchical Bayes methods and Markov chain Monte Carlo (MCMC) techniques. Many topics are at the cutting edge of statistical research. Solutions to common inference problems appear throughout the text along with discussion of what prior to choose. There is a discussion of elicitation of a subjective prior as well as the motivation, applicability, and limitations of objective priors. By way of important applications the book presents microarrays, nonparametric regression via wavelets as well as DMA mixtures of normals, and spatial analysis with illustrations using simulated and real data. Theoretical topics at the cutting edge include high-dimensional model selection and Intrinsic Bayes Factors, which the authors have successfully applied to geological mapping. The style is informal but clear. Asymptotics is used to supplement simulation or understand some aspects of the posterior.

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Page Count

356

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387354336

ISBN 13

9780387354330

Coping with Climate Change in the Sundarbans

Lessons from Multidisciplinary Studies

By: Susmita Dasgupta,David Wheeler,Md. Istiak Sobhan,Sunando Bandyopadhyay,Tapas Paul

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Coping with Climate Change in the Sundarbans

Lessons from Multidisciplinary Studies

By: Susmita Dasgupta,David Wheeler,Md. Istiak Sobhan,Sunando Bandyopadhyay,Tapas Paul

Climate change poses serious threats to inclusive economic progress and poverty reduction. Strong countermeasures are required to increase the capacity of low-income people to mitigate their risk exposure to the impacts of climate change. Central pillars in planning for sustainable development and poverty alleviation must include vulnerability assessments, appropriate adaptation measures, and resilience-smart investments. This means placing climate change adaptation and resilience at the center of overall development policy. Coping with Climate Change in the Sundarbans contributes to this effort by synthesizing multiyear, multidisciplinary climate change studies on the Sundarbans—the world’s largest remaining contiguous mangrove forest and wetland of international importance, as well as home to some of South Asia’s poorest and most vulnerable communities. The studies’ findings indicate that, in a changing climate, sea-level rise, storm-surge intensification, and water salinization will alter the Sundarbans ecosystem significantly. The ripple effect of these changes will have multifaceted adverse impacts on the nature-dependent livelihoods, health, and nutrition of nearby communities. Elevated health risks, reduced land and labor productivity, and increased exposure to storms, floods, droughts, and other extreme events will make escape from poverty more difficult. Families in the Sundarbans are on the front line of these changes. Their experience and adaptation signal future decisions by hundreds of millions of families worldwide who will face similar threats from progressive sea-level rise. This research lays the technical foundation for developing a better understanding of the changes the Sundarbans currently faces, including responses of the ecosystem and human communities. Based on field research, location-specific, resilience-smart adaptation measures are recommended for reducing climate change vulnerability. Beyond the Sundarbans, the studies’ methods and findings will be of interest to development practitioners, policy makers, and researchers focused on island nations and countries worldwide that feature high-density populations and economic activity in low-lying coastal regions vulnerable to sea-level rise.

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Page Count

103

Publisher

World Bank Publications

Published Date

ISBN 10

1464815879

ISBN 13

9781464815874

Landscape of Next Generation Sequencing Using Pattern Recognition

Performance Analysis and Applications

By: Saurav Mallik,Loveleen Gaur,Soumita Seth,Tapas Bhadra,Mingqiang Wang

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Landscape of Next Generation Sequencing Using Pattern Recognition

Performance Analysis and Applications

By: Saurav Mallik,Loveleen Gaur,Soumita Seth,Tapas Bhadra,Mingqiang Wang

This book focuses on an eminent technology called next generation sequencing (NGS) which has entirely changed the procedure of examining organisms and will have a great impact on biomedical research and disease diagnosis. Numerous computational challenges have been brought on by the rapid advancement of large-scale next-generation sequencing (NGS) technologies and their application. The term ""biomedical imaging"" refers to the use of a variety of imaging techniques (such as X-rays, CT scans, MRIs, ultrasounds, etc.) to get images of the interior organs of a human being for potential diagnostic, treatment planning, follow-up, and surgical purposes. In these circumstances, deep learning, a new learning method that uses multi-layered artificial neural networks (ANNs) for unsupervised, supervised, and semi-supervised learning, has attracted a lot of interest for applications to NGS and imaging, even when both of these data are used for the same group of patients. The three main research phenomena in biomedical research are disease classification, feature dimension reduction, and heterogeneity. AI approaches are used by clinical researchers to efficiently analyse extremely complicated biomedical datasets (e.g., multi-omic datasets. With the use of NGS data and biomedical imaging of various human organs, researchers may predict diseases using a variety of deep learning models. Unparalleled prospects to improve the work of radiologists, clinicians, and biomedical researchers, speed up disease detection and diagnosis, reduce treatment costs, and improve public health are presented by using deep learning models in disease prediction using NGS and biomedical imaging. This book influences a variety of critical disease data and medical images.

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Page Count

200

Publisher

CRC Press

Published Date

ISBN 10

8770042160

ISBN 13

9788770042161

Climate Change, Livelihood Diversification and Well-Being

The Case of Rural Odisha

By: Arup Mitra,Saudamini Das,Amarnath Tripathi,Tapas Kumar Sarangi,Thiagu Ranganathan

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Climate Change, Livelihood Diversification and Well-Being

The Case of Rural Odisha

By: Arup Mitra,Saudamini Das,Amarnath Tripathi,Tapas Kumar Sarangi,Thiagu Ranganathan

This book assesses the capacity of the rural populace in terms of their ability to perceive a change in climatic variables and, if so, how they react to these changes in order to minimize the adverse effect of climate change. It evaluates the role of education and exposure to change in physiological variables like temperature, precipitation, etc., in forming the right perception of climate change. While analysing livelihood diversification as a strategy to cope with climate change concerns across geography (districts), caste, education and the primary occupation of the households, the book also considers factors affecting diversification. One important aspect of well-being is consumption; thus, by focusing on consumption changes over time and relating it to livelihood diversification, the book makes an in-depth analysis of the coping mechanisms. Diversification adopted in the face of compulsion and in a situation of stagnancy may result in a range of low productivity activities, whereas diversification as an attempt to explore newer pathways in a vibrant context to reduce income risks and smooth consumption can be highly beneficial. The book, thus, focuses on job profile and occupational diversification of the sample households, the extent of instability in occupations and the distribution of households in terms of consumption pattern, the inter-temporal changes in it and the determinants. The book is useful for researchers, students in environmental studies, policy-makers, NGOs and also the common reader who wants to understand climate change, its effects on livelihoods and ways to overcome the shocks. It reflects on effective policies which can create awareness and empower people to explore opportunities for livelihood creation so that the overall is sustained if not improved.

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Page Count

112

Publisher

Springer Nature

Published Date

ISBN 10

9811670498

ISBN 13

9789811670497

Book's by Tapas Mukhopadhyay

p53 Suppressor Gene

p53 Suppressor Gene

An Introduction to Bayesian Analysis

An Introduction to Bayesian Analysis

Coping with Climate Change in the Sundarbans

Coping with Climate Change in the Sundarbans

Landscape of Next Generation Sequencing Using Pattern Recognition

Landscape of Next Generation Sequencing Using Pattern Recognition

Climate Change, Livelihood Diversification and Well-Being

Climate Change, Livelihood Diversification and Well-Being

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