Chapter 8: Generating knowledge

Chapter 8: Biological Knowledge Assembly and Interpretation

Most methods for large-scale gene expression microarray and RNA-Seq data analysis are designed to determine the lists of genes or gene products that show distinct patterns and/or significant differences. The most challenging and rate-liming step, however, is to determine what the resulting lists of genes and/or transcripts biologically mean. Biomedical ontology and pathway-based functional enri...

Chapter 4 : Generating Random Variables

Many of the methods in computational statistics require the ability to generate random variables from known probability distributions. This is at the heart of Monte Carlo simulation for statistical inference (Chapter 6), bootstrap and resampling methods (Chapters 6 and 7), Markov chain Monte Carlo techniques (Chapter 11), and the analysis of spatial point processes (Chapter 12). In addition, we...

Chapter 8 . Process Modeling

Mathematical process models can assist process development and optimization in many different ways. This chapter discusses the different types and attributes of process models, and offers some ideas to consider when developing, using, and implementing them. Process models range from empirical to mechanistic in nature and vary in complexity from simple analytical solutions to coupled, 3-D transi...

Chapter 8 Aeroecology

R.A. Adams and S.C. Pedersen (eds.), Bat Evolution, Ecology, and Conservation, DOI 10.1007/978-1-4614-7397-8_8, © Springer Science+Business Media New York 2013 Abstract Aeroecology is an emerging scientifi c discipline that seeks to broaden understanding about the ecological function and biological importance of the aerosphere. The unifying concept of this interdisciplinary fi eld is a focus on...

Chapter 8 VESICANTS