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Generalized Linear Models With Examples in R
This textbook presents an introduction to generalized linear models, complete with real-world data sets and practice problems, making it applicable for both beginning and advanced students of applied statistics. Generalized linear models (GLMs) are powerful tools in applied statistics that extend the ideas of multiple linear regression and analysis of variance to include response variables that are not normally distributed. As such, GLMs can model a wide variety of data types including counts, proportions, and binary outcomes or positive quantities. The book is designed with the student in mind, making it suitable for self-study or a structured course. Beginning with an introduction to linea...
Bioinformatics and Computational Biology Solutions Using R and Bioconductor
Full four-color book. Some of the editors created the Bioconductor project and Robert Gentleman is one of the two originators of R. All methods are illustrated with publicly available data, and a major section of the book is devoted to fully worked case studies. Code underlying all of the computations that are shown is made available on a companion website, and readers can reproduce every number, figure, and table on their own computers.
Bioinformatics for High Throughput Sequencing
Next generation sequencing is revolutionizing molecular biology. Owing to this new technology it is now possible to carry out a panoply of experiments at an unprecedented low cost and high speed. These go from sequencing whole genomes, transcriptomes and small non-coding RNAs to description of methylated regions, identification protein – DNA interaction sites and detection of structural variation. The generation of gigabases of sequence information for each of this huge bandwidth of applications in just a few days makes the development of bioinformatics applications for next generation sequencing data analysis as urgent as challenging.
Statistical Analysis of Next Generation Sequencing Data
Next Generation Sequencing (NGS) is the latest high throughput technology to revolutionize genomic research. NGS generates massive genomic datasets that play a key role in the big data phenomenon that surrounds us today. To extract signals from high-dimensional NGS data and make valid statistical inferences and predictions, novel data analytic and statistical techniques are needed. This book contains 20 chapters written by prominent statisticians working with NGS data. The topics range from basic preprocessing and analysis with NGS data to more complex genomic applications such as copy number variation and isoform expression detection. Research statisticians who want to learn about this grow...
Principles of Data Mining
The first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics. The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics. The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying d...
Conceptualising the Digital University
Despite the increasing ubiquity of the term, the concept of the digital university remains diffuse and indeterminate. This book examines what the term 'digital university' should encapsulate and the resulting challenges, possibilities and implications that digital technology and practice brings to higher education. Critiquing the current state of definition of the digital university construct, the authors propose a more holistic, integrated account that acknowledges the inherent diffuseness of the concept. The authors also question the extent to which digital technologies and practices can allow us to re-think the location of universities and curricula; and how they can extend higher education as a public good within the current wider political context. Framed inside a critical pedagogy perspective, this volume debates the role of the university in fostering the learning environments, skills and capabilities needed for critical engagement, active open participation and reflection in the digital age. This pioneering volume will be of interest and value to students and scholars of digital education, as well as policy makers and practitioners.
Functional Genomics
This collection of robust, readily reproducible methods for microarray-based studies includes expert guidance in the optimal data analysis and informatics. On the methods side are proven techniques for monitoring subcellular RNA localization en masse, for mapping chromosomes at the resolution of a single gene, and for surveying the steady-state genome-wide distribution of DNA binding proteins in vivo. For those workers dealing with massive data sets, the book discusses the methodological aspects of data analysis and informatics in the design of microarray experiments, the choice of test statistic, and the assessment of observational significance, data reduction, and clustering.
Greek Grammar
Sponsored by the Department of Classics of Harvard University, a revised edition of the late Professor Smyth's A Greek Grammar for Colleges is now available. All necessary corrections have been made, and the book retains the form which has long made it the most complete and valuable work of its kind. In this descriptive grammar the author offers a treatment of Greek syntax which is exceptionally rich as well subtle and varied.
This Can't be Happening at Macdonald Hall!
As they seem to be at the bottom of every prank at Macdonald Hall, the headmaster decides to separate roommates Bruno and Boots, but to little avail.
