Taewan Goo

According to our database, Taewan Goo authored at least 5 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Uncertainty Quantification and Statistical Inference for Biologically Informed Neural Networks.

Taewan Goo, Chanhee Lee, Sangyeon Shin, Haeyoung Kim, Taesung Park

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Confidence Interval Estimation for Machine Learning Models in Forecasting Infectious Diseases.

Taewan Goo, Kyulhee Han, Hanbyul Song, Jiwon Park, Zhe Liu, Jooha Oh, Sayooj Aby Jose, Taesung Park

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2021

Analysis of COVID-19 genetic risk susceptibility using UK Biobank SNP genotype data.

Taewan Goo, Kyulhee Han, Catherine Apio, Taesung Park

Int. J. Data Min. Bioinform., 2021

2020

Deep learning-based classification and interpretation of gene expression data from cancer and normal tissues.

TaeJin Ahn, Taewan Goo, Chanhee Lee, Sungmin Kim, Kyullhee Han, Sangick Park, Taesung Park

Int. J. Data Min. Bioinform., 2020

2018

Deep Learning-based Identification of Cancer or Normal Tissue using Gene Expression Data.

TaeJin Ahn, Taewan Goo, Chanhee Lee, Sungmin Kim, Kyullhee Han, Sangick Park, Taesung Park

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018