Shieh Lab


Welcome to Shieh Lab.


"A nonlinear correlation measure with applications to gene expression data." has been published in PLoS ONE (2022)

"Harnessing Synthetic Lethal Interactions for Personalized Medicine" has been published in Journal of Personalized Medicine in 2022



Data Science Program, Academic Sinica & NTU

Bioinformatics at Taiwan International Graduate Program

Translational Medicine at TIGP

Research Topics/Projects

  1. "Machine Learning-based projects on precision medicine" to find signatures for prediction of response of patients with Urothelial/Kidney cancer to immunotherapies. ( a collaboration with Dr.  Tai-Lung Cha, President of National Medical College,  National Deferense Medical Center)
  2. Prediction of Drug Response of cancer patients. (collaborate with Prof. Jan-Gowth Chang (China Medical Univ.))
    In the era of PM, using gene expression data and DNA omics data to predict the drug response of cancer patients is timely and important.

  3. Using deep learning (cNN) to identify cancer patients who can response to drugs (collaborate with Prof. Jan-Gowth Chang (China Medical Univ.))
  4. Identifying (a) prognostic markers, (b) drug target and (c) key genes in colorectal/Lung/ Oral cancers. (collaborated with profs. Pai-Chye Yang (National Taiwan Univ.); Joanne Chen (IBMS); Jan-Gowth Chang (CMU), and others)
    Related publications:
    Tiong et al. (2014), Hwang et al. (2015),
    Chang et al. (2016), Wang et al. (2019).
  5. Using several kinds of genomic data to infer genetic interactions/pathway components.



Institute of Statistical Science, Academia Sinica, 128, Academia Rd. Sec. 2, Taipei 115, Taiwan