Acute Leukemia Classification Using Transcriptional Profiles From Low-Cost Nanopore mRNA Sequencing.

Jeremy R Wang Nickhill H Bhakta Vanessa Ayer MillerMahler RevsineMark R LitzowElisabeth PaiettaYuri FedoriwKathryn G RobertsZhaohui Gu Charles G Mullighan Corbin D Jones Thomas B Alexander

Published in: JCO precision oncology (2022)

Transcriptional profiling of acute leukemia samples using nanopore technology for diagnostic classification is feasible and accurate, which has the potential to improve the accuracy of cancer diagnosis in low-resource settings.

Keyphrases

low cost
deep learning
machine learning
single molecule
single cell
transcription factor
gene expression
papillary thyroid
solid state
squamous cell
heat shock
high resolution
binding protein
lymph node metastasis
mass spectrometry
childhood cancer
climate change