Splicing
Splicing is the process of removing or adding specific portions of a DNA sequence in order to modify genetic information. In data science, splicing refers to the process of combining data from different sources or subsets of data to create a new dataset. This can be done by selecting specific columns or rows from different datasets and merging them together based on a common identifier. Splicing is commonly used in machine learning to create training and testing datasets, as well as in data preprocessing to clean and prepare data for analysis.
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