Hongzhe Li

Nov 4, 2024 | biorxiv.org | Changhao Ge |Xiaowen Hu |Lin Zhang |Hongzhe Li

AbstractTranscriptome sequencing (RNA-seq) is widely used in cancer research to study the transcriptome and its role in disease progression. Somatic copy number aberrations (SCNAs) are key drivers of cancer development, and inferring SCNAs from RNA-seq data can provide critical insights for disease classification and treatment prediction. We introduce RCANE, a deep learning-based method designed to predict genome-wide SCNAs across various cancer types using RNA-seq data.

Jun 28, 2023 | arxiv.org | Hongzhe Li

arXiv:2306.15915 (stat) Download a PDF of the paper titled Transfer Learning with Random Coefficient Ridge Regression, by Hongzhe Zhang and Hongzhe Li Download PDF Submission history From: Hongzhe Zhang [ view email] [v1] Wed, 28 Jun 2023 04:36:37 UTC (2,134 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Links to Code Toggle CatalyzeX...