J. Hao

Interpretable deep neural network for cancer survival analysis by integrating genomic and clinical data

Jung Hun Oh, Mingon Kang, Tejaswini Mallavarapu, 2019, BMC Medical Genomics.

Pathway-based deep clustering for molecular subtyping of cancer.

J. Hao, Youngsoon Kim, Tejaswini Mallavarapu, 2020, Methods.

Attention-based multiple instance learning with self-supervision to predict microsatellite instability in colorectal cancer from histology whole-slide images

J. Park, G. Kang, J. Hao, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

PASNet: pathway-associated sparse deep neural network for prognosis prediction from high-throughput data

Jie Hao, Tae-Kyung Kim, Mingon Kang, 2018, BMC Bioinformatics.

PAGE-Net: Interpretable and Integrative Deep Learning for Survival Analysis Using HistopathologicalImages and Genomic Data

Mingon Kang, Sai Chandra Kosaraju, Nelson Zange Tsaku, 2019, PSB.

Development and validation of a novel strong prognostic index for colon cancer through a robust combination of laboratory features for systemic inflammation: a prognostic immune nutritional index

Dokyoon Kim, J. Park, J. Oh, 2022, British Journal of Cancer.

A Deep Learning-based Genome-wide Polygenic Risk Score for Common Diseases Identifies Individuals with Risk

Jiajie Peng, R. Han, T. Wang, 2021, medRxiv.

Development and Validation of a Prediction Model for Need for Massive Transfusion During Surgery Using Intraoperative Hemodynamic Monitoring Data

Dokyoon Kim, J. Hao, Y. Jung, 2022, JAMA network open.

Deep-Hipo: Multi-scale Receptive Field Deep Learning for Histopathological Image Analysis.

Mingon Kang, Sai Chandra Kosaraju, Hyun Min Koh, 2020, Methods.

An amino acid metabolism-based seventeen-gene signature correlates with the clinical outcome and immune features in pancreatic cancer

Rongqian Wu, Yi Lv, J. Hao, 2023, Frontiers in Genetics.

Hi-LASSO: High-Dimensional LASSO

Mingon Kang, Tejaswini Mallavarapu, Jie Hao, 2019, IEEE Access.