Titlebook: Bioinformatic and Statistical Analysis of Microbiome Data; From Raw Sequences t Yinglin Xia,Jun Sun Book 2023 Springer Nature Switzerland A

粗糙滥制

多节

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的’

https://doi.org/10.1007/978-3-8350-9661-5This chapter describes the foundations of the QIIME 2 approach for bioinformatic and biostatistical analyses of microbiome data. It first provides an overview of QIIME 2, and then introduces the core concepts in QIIME 2 and the installation of QIIME 2. Next it introduces how to store, track, and extract data in QIIME 2.

喃喃而言

itinerary

Karriereziel HochschulprofessurThis chapter introduces two specifically designed zero-inflated beta regression models for analyzing zero-inflated count microbiome data. First, it briefly introduces the zero-inflated beta modeling microbiome data. Then, it introduces the zero-inflated beta regression (ZIBSeq). Next, it introduces the zero-inflated beta-binomial model (ZIBB).

elucidate

Introduction to QIIME 2,This chapter describes the foundations of the QIIME 2 approach for bioinformatic and biostatistical analyses of microbiome data. It first provides an overview of QIIME 2, and then introduces the core concepts in QIIME 2 and the installation of QIIME 2. Next it introduces how to store, track, and extract data in QIIME 2.

arterioles

失败主义者

Zero-Inflated Beta Models for Microbiome Data,This chapter introduces two specifically designed zero-inflated beta regression models for analyzing zero-inflated count microbiome data. First, it briefly introduces the zero-inflated beta modeling microbiome data. Then, it introduces the zero-inflated beta regression (ZIBSeq). Next, it introduces the zero-inflated beta-binomial model (ZIBB).

DEBT

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