Yitan Zhu - RankMe

25 papers C 2Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis. Briefings Bioinform. Alexander Partin, Priyanka Vasanthakumari, Oleksandr Narykov, Andreas Wilke, Natasha Koussa, Sara E. Jones, Yitan Zhu, Jamie C. Overbeek, Rajeev Jain, Gayara Demini Fernando, Cesar Sanchez-Villalobos, Cristina Garcia-Cardona, Jamaludin Mohd-Yusof, Nicholas Chia, Justin M. Wozniak, Souparno Ghosh, Ranadip Pal, Thomas S. Brettin, M. Ryan Weil, Rick L. Stevens
2025	—	`conf`	A Workflow for Error Analysis for Drug Response Prediction via Statistical Standardization and Distribution Analysis. SC Workshops Jake Gwinn, Justin M. Wozniak, Rajeev Jain, Yitan Zhu, Alexander Partin, Thomas S. Brettin, Rick Stevens
2025	J	`jnl`	Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis. CoRR Alexander Partin, Priyanka Vasanthakumari, Oleksandr Narykov, Andreas Wilke, Natasha Koussa, Sara E. Jones, Yitan Zhu, Jamie C. Overbeek, Rajeev Jain, Gayara Demini Fernando, Cesar Sanchez-Villalobos, Cristina Garcia-Cardona, Jamaludin Mohd-Yusof, Nicholas Chia, Justin M. Wozniak, Souparno Ghosh, Ranadip Pal, Thomas S. Brettin, M. Ryan Weil, Rick L. Stevens
2025	J	`jnl`	Data imbalance in drug response prediction: multi-objective optimization approach in deep learning setting. Briefings Bioinform. Oleksandr Narykov, Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Fangfang Xia, Maulik Shukla, Priyanka Vasanthakumari, James H. Doroshow, Rick L. Stevens
2024	J	`jnl`	Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data. CoRR 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
2024	J	`jnl`	Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses. CoRR Tianshu Feng, Rohan Gnanaolivu, Abolfazl Safikhani, Yuanhang Liu, Jun Jiang, Nicholas Chia, Alexander Partin, Priyanka Vasanthakumari, Yitan Zhu, Chen Wang
2023	—	`conf`	Entropy-Based Regularization on Deep Learning Models for Anti-Cancer Drug Response Prediction. SC Workshops Oleksandr Narykov, Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Maulik Shukla, Priyanka Vasanthakumari, James H. Doroshow, Rick Stevens
2022	J	`jnl`	A cross-study analysis of drug response prediction in cancer cell lines. Briefings Bioinform. 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
2022	J	`jnl`	Deep learning methods for drug response prediction in cancer: predominant and emerging trends. CoRR Alexander Partin, Thomas S. Brettin, Yitan Zhu, Oleksandr Narykov, Austin Clyde, Jamie C. Overbeek, Rick L. Stevens
2021	J	`jnl`	Learning curves for drug response prediction in cancer cell lines. BMC Bioinform. 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
2020	J	`jnl`	A Systematic Approach to Featurization for Cancer Drug Sensitivity Predictions with Deep Learning. CoRR Austin Clyde, Tom Brettin, Alexander Partin, Maulik Shaulik, Hyun Seung Yoo, Yvonne A. Evrard, Yitan Zhu, Fangfang Xia, Rick Stevens
2020	J	`jnl`	Ensemble Transfer Learning for the Prediction of Anti-Cancer Drug Response. CoRR Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Fangfang Xia, Maulik Shukla, Hyun Seung Yoo, James H. Doroshow, Rick Stevens
2020	J	`jnl`	Learning Curves for Drug Response Prediction in Cancer Cell Lines. CoRR 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 Stevens
2019	J	`jnl`	Bayesian nonparametric clustering for large data sets. Stat. Comput. Daiane Aparecida Zuanetti, Peter Müller, Yitan Zhu, Shengjie Yang, Yuan Ji
2018	J	`jnl`	TCGA-assembler 2: software pipeline for retrieval and processing of TCGA/CPTAC data. Bioinform. Lin Wei, Zhilin Jin, Shengjie Yang, Yanxun Xu, Yitan Zhu, Yuan Ji
2009	—	`—`	Learning Statistical and Geometric Models from Microarray Gene Expression Data. Yitan Zhu
2008	J	`jnl`	A face detection and recognition system in color image series. Math. Comput. Simul. Jie Yang, Xufeng Ling, Yitan Zhu, Zhonglong Zheng
2008	J	`jnl`	caBIG BMC Bioinform. Yitan Zhu, Huai Li, David J. Miller, Zuyi Wang, Jianhua Xuan, Robert Clarke, Eric P. Hoffman, Yue Joseph Wang
2007	J	`jnl`	Initialization enhancer for non-negative matrix factorization. Eng. Appl. Artif. Intell. Zhonglong Zheng, Jie Yang, Yitan Zhu
2007	J	`jnl`	VISDA: an open-source caBIG Bioinform. Jiajing Wang, Huai Li, Yitan Zhu, Malik Yousef, Michael Nebozhyn, Michael M. Showe, Louise C. Showe, Jianhua Xuan, Robert Clarke, Yue Joseph Wang
2006	J	`jnl`	Face Detection and Recognition using Colour Sequential Images. J. Res. Pract. Inf. Technol. Zhonglong Zheng, Jie Yang, Yitan Zhu
2006	—	`conf`	Latent Variable and nICA Modeling of Pathway Gene Module Composite. EMBC Ting Gong, Yitan Zhu, Jianhua Xuan, Huai Li, Robert Clarke, Eric P. Hoffman, Yue Wang
2006	C	`conf`	Learning the Tree of Phenotypes Using Genomic Data and VISDA. BIBE Yuanjian Feng, Zuyi Wang, Yitan Zhu, Jianhua Xuan, David J. Miller
2006	C	`conf`	ModVis: An information visualization tool for gene module discovery. CAINE Justin Molineaux, Jianhua Xuan, Ting Gong, Yitan Zhu, Eric P. Hoffman, Robert Clarke, Yue Joseph Wang
2006	—	`conf`	Phenotypic-Specific Gene Module Discovery using a Diagnostic Tree and caBIGTM VISDA. EMBC Yitan Zhu, Zuyi Wang, Yuanjian Feng, Jianhua Xuan, David J. Miller, Eric P. Hoffman, Yue Wang