Multivariate analysis is a mainstay of statistical tools in the analysis of biomedical data. It concerns with associating data matrices of n rows by p columns, with rows representing samples (or patients) and columns attributes of samples, to some response variables, e.g., patients outcome. Classically, the sample size n is much larger than p, the number of variables. The properties of statistical models have been mostly discussed under the assumption of fixed p and infinite n. The advance of biological sciences and technologies has revolutionized the process of investigations of cancer. The biomedical data collection has become more automatic and more extensive. We are in the era of p as a large fraction of n, and even much larger than n. Take proteomics as an example. Although proteomic techniques have been researched and developed for many decades to identify proteins or peptides uniquely associated with a given disease state, until recently this has been mostly a laborious process, carried out one protein at a time. The advent of high throughput proteome-wide technologies such as liquid chromatography-tandem mass spectroscopy make it possible to generate proteomic signatures that facilitate rapid development of new strategies for proteomics-based detection of disease. This poses new challenges and calls for scalable solutions to the analysis of such high dimensional data. In this volume, we will present the systematic and analytical approaches and strategies from both biostatistics and bioinformatics to the analysis of correlated and high-dimensional data.

High-Dimensional Data Analysis in Cancer Research (Applied Bioinformatics and Biostatistics in Cancer Research)

Science & Math

Li, Xiaochun

Biological Sciences

Springer-Verlag New York, Inc.

Lovably troublesome Gladie Burger runs into sizzling danger and a fiery love triangle in the second installment of Elise Sax’s hilarious and sexy Matchmaker romance series. Since joining the family matchmaking business run by her eccentric Grandma Zelda, Gladie is always looking for love. But when an unbearable toothache knocks her out of commission and into the dentist’s chair, she prays only for relief. No such luck. Emerging from an anesthetic haze, Gladie awakes to find that not only is her tooth still throbbing, but her dentist is dead—and the lead suspect in the murder, office receptionist Belinda, just so happens to be Gladie’s first real client. Now it’s up to Gladie to find Belinda a man and keep her from being locked up behind bars. As if that weren’t enough distraction, two gorgeous men are vying for Gladie’s attention: Spencer, the playboy chief of police, and Holden, Gladie’s secretive, gorgeously muscled neighbor. Still, Gladie’s not complaining about having a helping hand or two when the case leads her to a dangerously bizarre cult. She may have met her match—and if she’s not careful, it could be her last. Praise for Elise Sax and Matchpoint “Elise Sax will win your heart.”—New York Times bestselling author Jill Shalvis “With quirky characters reminiscent of Janet Evanovich’s Stephanie Plum series and a small-town heroine redolent of Charlaine Harris’ Sookie Stackhouse, Sax’s second Matchmaker novel will no doubt delight fans and new readers alike. With its charming cast and an intriguing mystery, this fast-paced, zany story provides great fun and features some impressive ingenuity. The love triangle woven into the plot adds an amusing diversion to the main story and will keep readers gleefully trying to guess whodunit.”—RT Book Reviews “Sax’s second novel is a fun, funny romp of a mystery mixed with a sexy love triangle. Gladie is an endearing mess of a character, and the book is fast-paced and amusing, with a large cast of quirky, small-town characters that flesh out a well-crafted, entertaining storyline. A lighthearted and amusing caper with a sexy side order of romance.”—Kirkus Reviews “A cheeky series that has plenty of romantic complications, danger and humor to keep pages going!”—The Parkersburg News and Sentinel “Elise Sax will make you laugh. Her larger-than-life characters jump off the page and make crazy seem like a fun place to hang out.”—New York Times bestselling author Christie Craig

Operative Dictations in General and Vascular Surgery: Operative Dictations Made Simple

Jamal J. Hoballah

Carol E.H. Scott-Conner

Health, Fitness & Dieting

Handbuch Der Speziellen Pathologischen Anatomie Und Histologie Band 7 Weibliche Geschlechtsorgane. Placenta

K. And S.G. Driscoll Benirschke

Introduction to Mathematics for Life Scientists

Batschelet, Edward

Valuation Theory

Endler, Otto

Mathematics

Edward Batschelet

Principles Of Artificial Intelligence

Computers & Technology

Nils J. Nilsson

Computer Science

The Maple V Student Version: Release 4, Macintosh Version, provides the science student with the powerful symbolic and numeric computational capabilities of the Maple V computer algebra system. An easy-to-implement programming language and comprehensive library of built-in mathematical functions make solving problems from algebra to differential equations fast and reliable. Maple's open architecture gives one the freedom to develop a personalized library of functions or to customize the systems for almost any application. Maple's two and three dimensional graphics puts the power of scientific visualization on your desktop. Maple V features the most advanced graphical user interface in a student version. In addition to being able to quickly solve math problems, you can create exciting electronic or printed technical documents. Word processing features such as collapsible sections, document styles, and complete font control provide maximum flexibility for creating professional looking technical documents.

Maple V Student Version: Release 4 , Macintosh Version

Waterloo Maple Inc

Computer Simulation Methods in Theoretical Physics

Dieter W. Heermann

Meyn and Tweedie is back! The bible on Markov chains in general state spaces has been brought up to date to reflect developments in the field since 1996 - many of them sparked by publication of the first edition. The pursuit of more efficient simulation algorithms for complex Markovian models, or algorithms for computation of optimal policies for controlled Markov models, has opened new directions for research on Markov chains. As a result, new applications have emerged across a wide range of topics including optimisation, statistics, and economics. New commentary and an epilogue by Sean Meyn summarise recent developments and references have been fully updated. This second edition reflects the same discipline and style that marked out the original and helped it to become a classic: proofs are rigorous and concise, the range of applications is broad and knowledgeable, and key ideas are accessible to practitioners with limited mathematical background.

Markov Chains and Stochastic Stability (COMMUNICATIONS AND CONTROL ENGINEERING)

Sean P. Meyn

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