Detecting Cancer Outlier Genes with Potential Rearrangement Using Gene Expression Data and Biological Networks

Chuang, C. L. (2010). Inferring genetic network based on various types of biological data using machine learning algorithms [doctoral dissertation, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2010.02896
Tan, W. K. (2004). Expression patterns of housekeeping genes in cancer [master's thesis, The University of Hong Kong]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0029-1812201200004199
LINDER, H., & ZHANG, Y. (2021). A Pan-Cancer Network Analysis with Integration of miRNA-Gene Targeting for Multiomics Datasets. Journal of Data Science, 19(4), 555-568. https://doi.org/10.6339/21-JDS1019
Neapolitan, R., Xue, D., & Jiang, X. (2014). Modeling the Altered Expression Levels of Genes on Signaling Pathways in Tumors As Causal Bayesian Networks. Cancer Informatics, (2014), 77-84. https://doi.org/10.4137/CIN.S13578
Das, J., Gayvert, K. M., & Yu, H. (2014). Predicting Cancer Prognosis Using Functional Genomics Data Sets. Cancer Informatics, (2014-S5), 85-88. https://doi.org/10.4137/CIN.S14064