Ronghui (95 risultati)

paperback. Condizione: New. 1st.

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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

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Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Condizione: New. 2006. Paperback. . . . . .

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Condizione: New. 2006. Paperback. . . . . . Books ship from the US and Ireland.

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Condizione: New. In English.

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Softcover/Paperback. Condizione: Sehr gut. IV, 261 S. ; 21 cm Zustand: sehr gut bis neuwertig; ungelesen; MGW2408 9783832511425 Wenn das Buch einen Schutzumschlag hat, ist das ausdrücklich erwähnt. Rechnung mit ausgewiesener Mwst. Sprache: Englisch Gewicht in Gramm: 274.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New. In English.

Condizione: New.

Condizione: New. In English.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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.…

Condizione: New. In English.

Condizione: New. pp. 496.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims to comprehensively summarize the current research status of nanomaterials and cell biology. It highlights the biological effects and biomedical applications of nanomaterials for specific diseases, bone tissue engineering, and skeletal muscle regeneration. It also provides the details of the biomedical applications of nucleic acid nanomaterials in drug delivery carriers, antimicrobial therapy, vaccine, and neurodegenerative diseases. Therefore, this book renders the audience a better understanding of nanomaterials along with the diverse applications in the cell biology field from recent works to perspectives.…