AI Medical Compendium Journal:
Quantitative biology (Beijing, China)

Showing 1 to 2 of 2 articles

Performance-weighted-voting model: An ensemble machine learning method for cancer type classification using whole-exome sequencing mutation.

Quantitative biology (Beijing, China)
BACKGROUND: With improvements in next-generation DNA sequencing technology, lower cost is needed to collect genetic data. More machine learning techniques can be used to help with cancer analysis and diagnosis.

ShapeShifter: a novel approach for identifying and quantifying stable lariat intronic species in RNAseq data.

Quantitative biology (Beijing, China)
BACKGROUND: Most intronic lariats are rapidly turned over after splicing. However, new research suggests that some introns may have additional post-splicing functions. Current bioinformatics methods used to identify lariats require a sequencing read ...