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What is Imputation

Handbook of Research on Systems Biology Applications in Medicine
Substitution of some values for missing data. When missing values are imputed, data can be analyzed using standard techniques for complete data.
Published in Chapter:
Systems Biology of Human-Pathogenic Fungi
Daniela Albrecht (Leibniz Institute for Natural Product Research and Infection Biology -Hans-Knoell-Institute (HKI), Germany) and Reinhard Guthke (Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knoell-Institute (HKI), Germany)
Copyright: © 2009 |Pages: 19
DOI: 10.4018/978-1-60566-076-9.ch024
Abstract
This chapter describes a holistic approach to understand the molecular biology and infection process of human-pathogenic fungi. It comprises the whole process of analyzing transcriptomic and proteomic data. Starting with biological background, information on Aspergillus fumigatus and Candida albicans, two of the most important fungal pathogens, is given. Afterwards, techniques to create transcriptome and proteome data are described. The chapter continues with explaining methods for data processing and analysis. It shows the need for, and problems with data integration, as well as the role of standards, ontologies, and databases. General aspects of these 3 major topics are explained and connected to the research on human-pathogenic fungi. Finally, the near future of this research topic is highlighted. This chapter aims to provide an overview on analyses of data from different cellular levels of human-pathogenic fungi. It describes their integration and application of systems biology methodologies.
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More Results
Classification with Incomplete Data
is a generic term for filling in unknown features with plausible values provided by a missing data estimator. Missing values are estimated from the available data.
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A Framework of Statistical and Visualization Techniques for Missing Data Analysis in Software Cost Estimation
Imputation is the estimation of missing values by statistical techniques. The missing values are filled in and the resultant completed dataset can be analysed by standard methods.
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Object Classification Using CaRBS
Replacement of a missing value by a surrogate.
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Classification and Ranking Belief Simplex
Replacement of a missing value by a surrogate.
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Fuzzy Imputation Method for Database Systems
Imputation is the prediction of a missing value based on some procedure, using a mathematical model in combination with available information.
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