Sample and dimension screening

◆ Sample screening: when n groups of samples are obtained, there will inevitably be many problems, such as sample outliers or non-compliance with system laws, so these samples should be eliminated to ensure the correctness of future analysis.

◆ Dimension screening: when n samples are obtained, the dimensions in the samples may also have problems. If they do not conform to the system law, some dimensions will repeat, sometimes one dimension is derived from another dimension, etc., so these dimensions should be eliminated to ensure the correctness of future analysis.