Missing values: inputting and alternatives

Abstract

In the contemporary era, data processing has emerged as a pivotal activity, exerting a profound influence on the advancement of numerous domains, including those pertaining to economic, social, and technological development. In recent decades, there have been notable developments in the methods and tools used for data processing. Notwithstanding the considerable advances that have been made, the adaptation of tools and personnel to changes in specific fields of activity is occurring with a notable lag. The following discussion will focus on the processing of data with missing values in the context of the tasks of biology and bioinformatics.