| 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.
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.
(collaborate with Prof. Jan-Gowth Chang (China Medical Univ.)) |
| 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. |
| 6) |
Using genetic interactions to develop novel cancer therapeutic agents.
(with Prof. Jan-Gowth Chang(Kaoshung Medical Univ.), Dr. Konan Peck(IBMS, Academia Sinica), Jeou-Yuan Chen(IBMS, Academia Sinica)) |
| 7) |
Identification of the common regulators for hepatocellular carcinoma induced by hepatitis B virus X antigen in a mouse model
(with Dr. Cathy Yuh, NHRI) |
| 8) |
Epigenetics in yeast via ChIP-chip
and microarray data
(with Dr. Cheng-Fu Kao, Inst. Cellular & Organ. Biology, AS) |
| 9) |
Predicting molecular
mechanism for Obesity
(with Profs. Jean-Daniel Zucker, Univ. Paris-13 and Karine Clement, INSERM, France) |
