Zijun Wu

Jul 1, 2024 | flipboard.com | Zijun Wu |Yuan Yang |Yunfei Zha |Maojuan Chen

Matrix metalloproteinase 9 expression and glioblastoma survival prediction using machine learning on digital pathological imagesThis study aimed to apply pathomics to predict Matrix metalloproteinase 9 (MMP9) expression in glioblastoma (GBM) and investigate the underlying …

Nov 13, 2023 | biorxiv.org | Zijun Wu |Saurabh Sinha

AbstractReconstruction of gene regulatory networks (GRNs) from expression data is a significant open problem. Common approaches train a machine learning (ML) model to predict a gene's expression using transcription factors' (TFs') expression as features and designate important features/TFs as regulators of the gene. Here, we present an entirely different paradigm, where GRN edges are directly predicted by the ML model.

Nov 8, 2023 | dx.doi.org | Zijun Wu |Michael Donohoe |Derek A. Pratt |Robynne Vlaming

Download Hi-Res ImageDownload to MS-PowerPointCite This:J. Am. Chem. Soc. 2023, XXXX, XXX Terms & Conditions Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses).

Nov 8, 2023 | pubs.acs.org | Zijun Wu |Robynne Vlaming |Michael Donohoe |Derek A. Pratt

Download Hi-Res ImageDownload to MS-PowerPointCite This:J. Am. Chem. Soc. 2024, 146, 1RETURN TO ISSUEPREVArticleNEXTZijun WuDepartment of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada, Robynne VlamingDepartment of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada, Michael DonohoeDepartment of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada, and *Cite this: J. Am. Chem. Soc.

Sep 21, 2023 | mdpi.com | Zijun Wu |Yuan Yang |Yunfei Zha

2. Materials and Methods 2.1. Patients and DatasetsThe transcriptional, clinical, and follow-up data of 298 patients with HGG were retrieved from the TCGA database (https://portal.gdc.cancer.gov/, accessed on 1 January 2023), while normal para-cancer samples were acquired from the GTEx database [16,17]. The corresponding medical imaging data were downloaded from TCIA (https://www.cancerimagingarchive.net/, accessed on 1 January 2023).