Yitan Zhu

According to our database, Yitan Zhu authored at least 20 papers between 2006 and 2024.

Collaborative distances:

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

2024

Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data.

Jamie C. Overbeek, Alexander Partin, Thomas S. Brettin, Nicholas Chia, Oleksandr Narykov, Priyanka Vasanthakumari, Andreas Wilke, Yitan Zhu, Austin Clyde, Sara Jones, Rohan Gnanaolivu, Yuanhang Liu, Jun Jiang, Chen Wang, Carter Knutson, Andrew D. McNaughton, Neeraj Kumar, Gayara Demini Fernando, Souparno Ghosh, Cesar Sanchez-Villalobos, Ruibo Zhang, Ranadip Pal, M. Ryan Weil, Rick L. Stevens

CoRR, 2024

Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses.

Tianshu Feng, Rohan Gnanaolivu, Abolfazl Safikhani, Yuanhang Liu, Jun Jiang, Nicholas Chia, Alexander Partin, Priyanka Vasanthakumari, Yitan Zhu, Chen Wang

CoRR, 2024

2023

Entropy-Based Regularization on Deep Learning Models for Anti-Cancer Drug Response Prediction.

Oleksandr Narykov, Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Maulik Shukla, Priyanka Vasanthakumari, James H. Doroshow, Rick Stevens

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

Deep learning methods for drug response prediction in cancer: predominant and emerging trends.

Alexander Partin, Thomas S. Brettin, Yitan Zhu, Oleksandr Narykov, Austin Clyde, Jamie C. Overbeek, Rick L. Stevens

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

2021

Learning curves for drug response prediction in cancer cell lines.

Alexander Partin, Thomas S. Brettin, Yvonne A. Evrard, Yitan Zhu, Hyun Seung Yoo, Fangfang Xia, Songhao Jiang, Austin Clyde, Maulik Shukla, Michael Fonstein, James H. Doroshow, Rick L. Stevens

BMC Bioinform., 2021

2020

Ensemble Transfer Learning for the Prediction of Anti-Cancer Drug Response.

Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Fangfang Xia, Maulik Shukla, Hyun Seung Yoo, James H. Doroshow, Rick Stevens

CoRR, 2020

A Systematic Approach to Featurization for Cancer Drug Sensitivity Predictions with Deep Learning.

Austin Clyde, Tom Brettin, Alexander Partin, Maulik Shaulik, Hyun Seung Yoo, Yvonne A. Evrard, Yitan Zhu, Fangfang Xia, Rick Stevens

CoRR, 2020

2019

Bayesian nonparametric clustering for large data sets.

Daiane Aparecida Zuanetti, Peter Müller, Yitan Zhu, Shengjie Yang, Yuan Ji

Stat. Comput., 2019

2018

TCGA-assembler 2: software pipeline for retrieval and processing of TCGA/CPTAC data.

Lin Wei, Zhilin Jin, Shengjie Yang, Yanxun Xu, Yitan Zhu, Yuan Ji

Bioinform., 2018

2009

Learning Statistical and Geometric Models from Microarray Gene Expression Data.

Yitan Zhu

PhD thesis, 2009

2008

A face detection and recognition system in color image series.

Jie Yang, Xufeng Ling, Yitan Zhu, Zhonglong Zheng

Math. Comput. Simul., 2008

caBIG^TM VISDA: Modeling, visualization, and discovery for cluster analysis of genomic data.

Yitan Zhu, Huai Li, David J. Miller, Zuyi Wang, Jianhua Xuan, Robert Clarke, Eric P. Hoffman, Yue Joseph Wang

BMC Bioinform., 2008

2007

Initialization enhancer for non-negative matrix factorization.

Zhonglong Zheng, Jie Yang, Yitan Zhu

Eng. Appl. Artif. Intell., 2007

VISDA: an open-source caBIG^TM analytical tool for data clustering and beyond.

Jiajing Wang, Huai Li, Yitan Zhu, Malik Yousef, Michael Nebozhyn, Michael M. Showe, Louise C. Showe, Jianhua Xuan, Robert Clarke, Yue Joseph Wang

Bioinform., 2007

2006

Face Detection and Recognition using Colour Sequential Images.

Zhonglong Zheng, Jie Yang, Yitan Zhu

J. Res. Pract. Inf. Technol., 2006

Phenotypic-Specific Gene Module Discovery using a Diagnostic Tree and caBIGTM VISDA.

Yitan Zhu, Zuyi Wang, Yuanjian Feng, Jianhua Xuan, David J. Miller, Eric P. Hoffman, Yue Wang

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Latent Variable and nICA Modeling of Pathway Gene Module Composite.

Ting Gong, Yitan Zhu, Jianhua Xuan, Huai Li, Robert Clarke, Eric P. Hoffman, Yue Wang

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

ModVis: An information visualization tool for gene module discovery.

Justin Molineaux, Jianhua Xuan, Ting Gong, Yitan Zhu, Eric P. Hoffman, Robert Clarke, Yue Joseph Wang

Proceedings of the ISCA 19th International Conference on Computer Applications in Industry and Engineering, 2006

Learning the Tree of Phenotypes Using Genomic Data and VISDA.

Yuanjian Feng, Zuyi Wang, Yitan Zhu, Jianhua Xuan, David J. Miller

Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006