LEADER 04045nam 22007575 450 001 996547956503316 005 20230810180808.0 010 $a9783031213915$b(electronic bk.) 010 $z9783031213908 024 7 $a10.1007/978-3-031-21391-5 035 $a(MiAaPQ)EBC30545029 035 $a(Au-PeEL)EBL30545029 035 $a(OCoLC)1379437660 035 $a(DE-He213)978-3-031-21391-5 035 $a(BIP)085993125 035 $a(PPN)270617914 035 $a(EXLCZ)9926707048800041 100 $a20230515d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBioinformatic and Statistical Analysis of Microbiome Data$b[electronic resource] $eFrom Raw Sequences to Advanced Modeling with QIIME 2 and R /$fby Yinglin Xia, Jun Sun 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (716 pages) 311 08$aPrint version: Xia, Yinglin Bioinformatic and Statistical Analysis of Microbiome Data Cham : Springer International Publishing AG,c2023 9783031213908 320 $aIncludes bibliographical references and index. 327 $aChapter 1. Introduction to Linux and Unix -- Chapter 2. Introduction to R, Rstudio -- Chapter 3. Bioinformatic Analysis of Next-Generation Sequencing -- Chapter 4. Bioinformatic Analysis of Metagenomics -- Chapter 5. Alpha Diversity -- Chapter 6. Beta Diversity -- Chapter 7. Differential Abundance Analysis -- Chapter 8. Analyzing Zero-Inflated Microbiome Data -- Chapter 9. Compositional Analysis of Microbiome Data -- Chapter 10. Longitudinal Data Analysis of Microbiome -- Chapter 11. Meta-analysis of Microbiome Data (optional). 330 $aThis unique book addresses the bioinformatic and statistical modelling and also the analysis of microbiome data using cutting-edge QIIME 2 and R software. It covers core analysis topics in both bioinformatics and statistics, which provides a complete workflow for microbiome data analysis: from raw sequencing reads to community analysis and statistical hypothesis testing. It includes real-world data from the authors? research and from the public domain, and discusses the implementation of QIIME 2 and R for data analysis step-by-step. The data as well as QIIME 2 and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter so that these new methods can be readily applied in their own research. Bioinformatic and Statistical Analysis of Microbiome Data is an ideal book for advanced graduate students and researchers in the clinical, biomedical, agricultural, and environmental fields, as well as those studying bioinformatics, statistics, and big data analysis. 606 $aBioinformatics 606 $aBiometry 606 $aBig data 606 $aMathematical statistics$xData processing 606 $aBiotechnology 606 $aBiomedical engineering 606 $aBioinformatics 606 $aBiostatistics 606 $aBig Data 606 $aStatistics and Computing 606 $aBiotechnology 606 $aBiomedical Engineering and Bioengineering 610 $aMicrobiology 610 $aScience 615 0$aBioinformatics. 615 0$aBiometry. 615 0$aBig data. 615 0$aMathematical statistics$xData processing. 615 0$aBiotechnology. 615 0$aBiomedical engineering. 615 14$aBioinformatics. 615 24$aBiostatistics. 615 24$aBig Data. 615 24$aStatistics and Computing. 615 24$aBiotechnology. 615 24$aBiomedical Engineering and Bioengineering. 676 $a576 700 $aXia$b Yinglin$0767992 702 $aSun$b Jun 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a996547956503316 996 $aBioinformatic and Statistical Analysis of Microbiome Data$93430601 997 $aUNISA LEADER 06155nam 22009255 450 001 9910879592203321 005 20260612093848.0 010 $a3-031-64070-5 024 7 $a10.1007/978-3-031-64070-4 035 $a(MiAaPQ)EBC31591888 035 $a(Au-PeEL)EBL31591888 035 $a(CKB)33769510500041 035 $a(DE-He213)978-3-031-64070-4 035 $a(OCoLC)1451804543 035 $a(EXLCZ)9933769510500041 100 $a20240808d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Network Technologies and Intelligent Computing $eThird International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part III /$fedited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Sanjay Kumar Dhurandher, Isaac Woungang 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (417 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2092 311 08$a3-031-64069-1 327 $a-- Intelligent Computing. -- Implementation and Performance Evaluation of Deep Learning Models for Disease Classification and Severity Estimation of Coffee Leaves. -- Flow-Optimized Channel-Attentive Excitation DenseNet Algorithm for Multi-Disease Classification and Severity Estimation. -- Image Captioning using Deep Learning. -- Visualizing Optimal Classifiers in EEG-Based Sleepy Driver Prediction. -- Revolutionizing Glaucoma Diagnosis with a Hybrid AI Algorithm. -- Unravelling Crop Yield Secrets Through Identification of Significant Factors Using Machine Learning. -- Comparative Analysis of Short-Term Load Forecasting Using K-Nearest Neighbor, Random Forest, and Gradient Boost Models. -- Heuristics for Influence Maximization with Tiered Influence and Activation thresholds. -- Sentiment Analysis and Offensive Language Identification In Code-Mixed Tamil-English Languages Using Transformer-based Models. -- Performance evaluation of Deep Transfer Learning and Semantic Segmentation models for crop and weed detection in the Sesame Production System. -- Machine Learning Analysis on Hate Speech against Asians. -- Deep Transfer Learning for Enhanced Blackgram Disease Detection: A Transfer Learning - Driven Approach. -- Sustainable Natural Gas Price Forecasting with DEEPAR. -- Whale Optimized Deep Learning Technique for Accurate Skin Cancer Identification. -- Multi-Domain Feature Extraction Methods for Classification of Human Emotions from Electroencephalography (EEG) Signals. -- Enhancing Speech Quality using Spectral Subtraction and Time-Frequency Filtering. -- Analyzing the performance of BERT for the sentiment classification task in Bengali text. -- Student?s Performance Prediction using Decision Tree Regressor. -- A Comprehensive Analysis on Features and Performance Evaluation Metrics in Audio-Visual Voice Conversion. -- Time Series Analytic Models for Forecasting Vehicular Registration Volume in the Indian Context. -- Impact of Clinical Features on Disease Diagnosis using Knowledge Graph Embedding and Machine Learning: a Detailed Analysis. -- Advancements in Alzheimer's Disease Diagnosis: The MRI-CNN Synergy for Early Detection. -- Drinking Addiction Predictive Model Using Body Characteristics Machine Learning Approach. -- An Ensemble of Machine Learning Models Utilizing Deep Convolutional Features for Medical Image Classification. 330 $aThe 4-volume proceedings set CCIS 2090, 2091,2092 and 2093 constitute the refereed post-conference proceedings of the Third International Conference on Advanced Network Technologies and Intelligent Computing, ANTIC 2023, held in Varanasi, India, during December 20-22, 2023. The 87 full papers and 11 short papers included in this book were carefully reviewed and selected from 487 submissions. The conference papers are organized in topical sections on: Part I - Advanced Network Technologies. Part II - Advanced Network Technologies; Intelligent Computing. Part III- IV - Intelligent Computing. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2092 606 $aComputer engineering 606 $aComputer networks 606 $aSoftware engineering 606 $aCryptography 606 $aData encryption (Computer science) 606 $aCoding theory 606 $aInformation theory 606 $aComputer Engineering and Networks 606 $aSoftware Engineering 606 $aCryptology 606 $aComputer Communication Networks 606 $aCoding and Information Theory 606 $aEnginyeria d'ordinadors$2thub 606 $aXarxes d'ordinadors$2thub 606 $aCriptografia$2thub 606 $aXifratge (Informātica)$2thub 606 $aEnginyeria de programari$2thub 608 $aCongressos$2thub 608 $aLlibres electrōnics$2thub 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aSoftware engineering. 615 0$aCryptography. 615 0$aData encryption (Computer science) 615 0$aCoding theory. 615 0$aInformation theory. 615 14$aComputer Engineering and Networks. 615 24$aSoftware Engineering. 615 24$aCryptology. 615 24$aComputer Communication Networks. 615 24$aCoding and Information Theory. 615 7$aEnginyeria d'ordinadors 615 7$aXarxes d'ordinadors 615 7$aCriptografia 615 7$aXifratge (Informātica) 615 7$aEnginyeria de programari 676 $a621.39 676 $a004.6 700 $aVerma$b Anshul$01592011 701 $aVerma$b Pradeepika$01765132 701 $aPattanaik$b Kiran Kumar$01765133 701 $aDhurandher$b Sanjay Kumar$01380384 701 $aWoungang$b Isaac$0846886 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910879592203321 996 $aAdvanced Network Technologies and Intelligent Computing$94206367 997 $aUNINA