Ya Ju Fan

According to our database, Ya Ju Fan authored at least 4 papers between 2019 and 2022.

Collaborative distances:

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

2022

Evaluating Point-Prediction Uncertainties in Neural Networks for Drug Discovery.

Ya Ju Fan, Jonathan E. Allen, Kevin S. McLoughlin, Da Shi, Brian J. Bennion, Xiaohua Zhang, Felice C. Lightstone

CoRR, 2022

A cross-study analysis of drug response prediction in cancer cell lines.

Fangfang Xia, Jonathan E. Allen, Prasanna Balaprakash, Thomas S. Brettin, Cristina Garcia-Cardona, Austin Clyde, Judith D. Cohn, James H. Doroshow, Xiaotian Duan, Veronika Dubinkina, Yvonne A. Evrard, Ya Ju Fan, Jason Gans, Stewart He, Pinyi Lu, Sergei Maslov, Alexander Partin, Maulik Shukla, Eric A. Stahlberg, Justin M. Wozniak, Hyun Seung Yoo, George F. Zaki, Yitan Zhu, Rick Stevens

Briefings Bioinform., 2022

2019

Autoencoder node saliency: Selecting relevant latent representations.

Ya Ju Fan

Pattern Recognit., 2019

Distinguishing between Normal and Cancer Cells Using Autoencoder Node Saliency.

Ya Ju Fan, Jonathan E. Allen, Sam Ade Jacobs, Brian C. Van Essen

CoRR, 2019