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Data analysis for omic sciences : methods and applications /
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam, Netherlands :
Elsevier,
[2018]
|
| Colección: | Wilson and Wilson's comprehensive analytical chemistry ;
v. 82. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
MARC
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| 245 | 0 | 0 | |a Data analysis for omic sciences : |b methods and applications / |c edited by Joaquim Jaumot, Carmen Bedia, Rom�a Tauler. |
| 264 | 1 | |a Amsterdam, Netherlands : |b Elsevier, |c [2018] | |
| 300 | |a 1 online resource : |b illustrations (some colour) | ||
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| 490 | 1 | |a Wilson & Wilson's comprehensive analytical chemistry ; |v volume 82 | |
| 588 | 0 | |a Online resource; title from PDF title page (ScienceDirect, viewed October 2, 2018). | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Front Cover; Data Analysis for Omic Sciences: Methods and Applications; Copyright; Contents; Contributors to Volume 82; Series Editor�s Preface; Preface; Chapter One: Introduction to the Data Analysis Relevance in the Omic Era; 1. Introduction to Omics; 2. Data Analysis in the Omic Workflow; 2.1. Molecular Hypothesis Formulation; 2.2. Experimental Design; 2.3. Sample Preparation and Instrumental Analysis; 2.4. Preprocessing and Data Analysis; 2.5. Results Evaluation and Biological Interpretation; 3. Data Analysis Aspects Considered in This Volume | |
| 505 | 8 | |a 3.1. Hypothesis Formulation, Experimental Design, Sample Preparation and Analysis3.2. Preprocessing and Data Analysis; 3.3. Results Evaluation and Biological interpretation; 4. Future Trends; Acknowledgements; References; Chapter Two: Experimental Approaches in Omic Sciences; 1. Introduction; 2. The Importance of the Biological Samples; 3. Targeted and Untargeted Analytical Approaches in Omic Studies; 4. Sample Preparation in Omics Studies; 5. Analytical Technologies in Omic Sciences; 5.1. Genomics, Epigenomics, and Transcriptomics; 5.2. Proteomics; 5.3. Metabolomics; 6. Concluding Remarks | |
| 505 | 8 | |a 4.2. Array Normalization4.2.1. Main Steps; 4.2.1.1. Background Correction; 4.2.1.2. Normalization; 4.2.1.3. Summarization; 4.2.2. Methods; 4.2.2.1. Robust Multichip Analysis; 4.2.2.2. Probe Logarithmic Intensity Error; 4.2.2.3. GC-RMA; 4.3. Data Filtering; 4.4. Batch Effect in Microarrays; 5. Experimental Design for Microarray Experiments; 5.1. Replication; 5.1.1. Power and Sample Size; 5.2. Pooling; 5.3. Blocking Microarray Experiments; 6. Statistical Analysis of Microarray Data; 6.1. Class Comparison, Selecting Differentially Expressed Genes; 6.1.1. Statistical Tests for Microarray Data | |
| 505 | 8 | |a 6.1.2. The Multiple Testing Problem and Proposed Solutions6.1.3. Volcano Plots; 6.2. Class Prediction; 6.3. Class Discovery; 6.4. Biological Significance Analysis: Finding Meaning in Data; 6.4.1. Pathway Analysis Methods; 7. Microarray Bioinformatics; 7.1. Software for Microarray Data Analysis; 7.1.1. Open Source Software; 7.1.2. The Bioconductor Project; 7.1.3. Proprietary Software; 7.2. Microarray Databases; 8. Discussion and Conclusions; Supplementary Materials; Acknowledgements; References; Further Reading; Chapter Four: RNA-Seq Data Analysis, Applications and Challenges; 1. Introduction | |
| 650 | 0 | |a Quantitative research. | |
| 650 | 0 | |a Biology |x Mathematical models. | |
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| 650 | 7 | |a Quantitative research |2 fast |0 (OCoLC)fst01742283 | |
| 700 | 1 | |a Jaumot, Joaquim, |e editor. | |
| 700 | 1 | |a Bedia, Carmen, |e editor. | |
| 700 | 1 | |a Tauler i Ferr�e, Rom�a, |e editor. | |
| 776 | 0 | 8 | |i Print version: |t Data analysis for omic sciences. |d Amsterdam, Netherlands : Elsevier, [2018] |z 0444640444 |z 9780444640444 |w (OCoLC)1028528737 |
| 830 | 0 | |a Wilson and Wilson's comprehensive analytical chemistry ; |v v. 82. | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/handbooks/0166526X/82 |z Texto completo |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780444640444 |z Texto completo |