METHODS AND COMPOSITIONS THAT UTILIZE TRANSCRIPTOME SEQUENCING DATA IN MACHINE LEARNING-BASED CLASSIFICATION

摘要

Provided herein are methods and systems for producing a modified biological dataset by flagging or removing a nucleic acid sequence from the biological dataset that is assigned a noise-call to produce the modified biological dataset. The noise-call may be based on comparing a gene expression level, sequence information, or a combination thereof with a nucleic acid sequence of a control sample.