CanDLE: Illuminating Biases in Transcriptomic Pan-Cancer Diagnosis

• Published in: Computational Mathematics Modeling in Cancer Analysis Vol. 13574; pp. 68 - 77
• Main Authors: Mejía, Gabriel, Bloch, Natasha, Arbelaez, Pablo
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer 2022; Springer Nature Switzerland
• Series: Lecture Notes in Computer Science
• Subjects: Cancer classification; Cancer detection; GTEx; Machine learning; Multinomial logistic regression; TCGA

Automatic cancer diagnosis based on RNA-Seq profiles is at the intersection of transcriptome analysis and machine learning. Methods developed for this task could be a valuable support in clinical practice and provide insights into the cancer causal mechanisms. To correctly approach this problem, the...