Data Analysis for the Life Sciences with R

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Release : 2016-10-04
Genre : Mathematics
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Book Rating : 861/5 ( reviews)

Data Analysis for the Life Sciences with R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Analysis for the Life Sciences with R write by Rafael A. Irizarry. This book was released on 2016-10-04. Data Analysis for the Life Sciences with R available in PDF, EPUB and Kindle. This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.

Writing in the Life Sciences

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Release : 2010-01-01
Genre : Science
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Book Rating : 467/5 ( reviews)

Writing in the Life Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Writing in the Life Sciences write by Laurence S. Greene. This book was released on 2010-01-01. Writing in the Life Sciences available in PDF, EPUB and Kindle. Practicing scientists know that the quality of their livelihood is strongly connected to the quality of their writing, and critical thinking is the most necessary and valuable tool for effectively generating and communicating scientific information. Writing in the Life Sciences is an innovative, process-based text that gives beginning writers the tools to write about science skillfully by taking a critical thinking approach. Laurence Greene emphasizes "writing as thinking" as he takes beginning writers through the important stages of planning, drafting, and revising their work. Throughout, he uses focused and systematic critical reading and thinking activities to help scientific writers develop the skills to effectively communicate. Each chapter addresses a particular writing task rather than a specific type of document. The book makes clear which tasks are important for all writing projects (i.e., audience analysis, attending to instructions) and which are unique to a specific writing project (rhetorical goals for each type of document). Ideal for Scientific Writing courses and writing-intensive courses in various science departments (e.g., Biology, Environmental Studies, etc.), this innovative, process-based text goes beyond explaining what scientific writing is and gives students the tools to do it skillfully.

Physics of the Life Sciences

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Release : 2010-03-23
Genre : Science
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Book Rating : 596/5 ( reviews)

Physics of the Life Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Physics of the Life Sciences write by Jay Newman. This book was released on 2010-03-23. Physics of the Life Sciences available in PDF, EPUB and Kindle. Each chapter has three types of learning aides for students: open-ended questions, multiple-choice questions, and quantitative problems. There is an average of about 50 per chapter. There are also a number of worked examples in the chapters, averaging over 5 per chapter, and almost 600 photos and line drawings.

Deep Learning for the Life Sciences

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Release : 2019-04-10
Genre : Science
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Book Rating : 802/5 ( reviews)

Deep Learning for the Life Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Deep Learning for the Life Sciences write by Bharath Ramsundar. This book was released on 2019-04-10. Deep Learning for the Life Sciences available in PDF, EPUB and Kindle. Deep learning has already achieved remarkable results in many fields. Now it’s making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields. Ideal for practicing developers and scientists ready to apply their skills to scientific applications such as biology, genetics, and drug discovery, this book introduces several deep network primitives. You’ll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicine—an example that represents one of science’s greatest challenges. Learn the basics of performing machine learning on molecular data Understand why deep learning is a powerful tool for genetics and genomics Apply deep learning to understand biophysical systems Get a brief introduction to machine learning with DeepChem Use deep learning to analyze microscopic images Analyze medical scans using deep learning techniques Learn about variational autoencoders and generative adversarial networks Interpret what your model is doing and how it’s working

Global Transformations in the Life Sciences, 1945–1980

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Release : 2018-06-07
Genre : Science
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Book Rating : 051/5 ( reviews)

Global Transformations in the Life Sciences, 1945–1980 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Global Transformations in the Life Sciences, 1945–1980 write by Patrick Manning. This book was released on 2018-06-07. Global Transformations in the Life Sciences, 1945–1980 available in PDF, EPUB and Kindle. The second half of the twentieth century brought extraordinary transformations in knowledge and practice of the life sciences. In an era of decolonization, mass social welfare policies, and the formation of new international institutions such as UNESCO and the WHO, monumental advances were made in both theoretical and practical applications of the life sciences, including the discovery of life’s molecular processes and substantive improvements in global public health and medicine. Combining perspectives from the history of science and world history, this volume examines the impact of major world-historical processes of the postwar period on the evolution of the life sciences. Contributors consider the long-term evolution of scientific practice, research, and innovation across a range of fields and subfields in the life sciences, and in the context of Cold War anxieties and ambitions. Together, they examine how the formation of international organizations and global research programs allowed for transnational exchange and cooperation, but in a period rife with competition and nationalist interests, which influenced dramatic changes in the field as the postcolonial world order unfolded.