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2020 – today
- 2024
[i5]Tianshu Feng, Rohan Gnanaolivu, Abolfazl Safikhani, Yuanhang Liu, Jun Jiang, Nicholas Chia, Alexander Partin, Priyanka Vasanthakumari, Yitan Zhu, Chen Wang:
Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses. CoRR abs/2407.04486 (2024)- 2023
- [c5]Oleksandr Narykov
, Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Maulik Shukla, Priyanka Vasanthakumari, James H. Doroshow, Rick Stevens:
Entropy-Based Regularization on Deep Learning Models for Anti-Cancer Drug Response Prediction. SC Workshops 2023: 121-122 - 2022
- [j9]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:
A cross-study analysis of drug response prediction in cancer cell lines. Briefings Bioinform. 23(1) (2022) - [i4]Alexander Partin, Thomas S. Brettin, Yitan Zhu, Oleksandr Narykov, Austin Clyde, Jamie Overbeek, Rick L. Stevens:
Deep learning methods for drug response prediction in cancer: predominant and emerging trends. CoRR abs/2211.10442 (2022) - 2021
- [j8]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:
Learning curves for drug response prediction in cancer cell lines. BMC Bioinform. 22(1): 252 (2021) - 2020
- [i3]Austin Clyde, Tom Brettin, Alexander Partin, Maulik Shaulik, Hyun Seung Yoo, Yvonne A. Evrard, Yitan Zhu, Fangfang Xia, Rick Stevens:
A Systematic Approach to Featurization for Cancer Drug Sensitivity Predictions with Deep Learning. CoRR abs/2005.00095 (2020) - [i2]Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Fangfang Xia, Maulik Shukla, Hyun Seung Yoo, James H. Doroshow, Rick Stevens:
Ensemble Transfer Learning for the Prediction of Anti-Cancer Drug Response. CoRR abs/2005.09572 (2020) - [i1]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:
Learning Curves for Drug Response Prediction in Cancer Cell Lines. CoRR abs/2011.12466 (2020)
2010 – 2019
- 2019
- [j7]Daiane Aparecida Zuanetti, Peter Müller, Yitan Zhu, Shengjie Yang, Yuan Ji:
Bayesian nonparametric clustering for large data sets. Stat. Comput. 29(2): 203-215 (2019) - 2018
- [j6]Lin Wei, Zhilin Jin, Shengjie Yang, Yanxun Xu, Yitan Zhu, Yuan Ji:
TCGA-assembler 2: software pipeline for retrieval and processing of TCGA/CPTAC data. Bioinform. 34(9): 1615-1617 (2018)
2000 – 2009
- 2009
- [b1]Yitan Zhu:
Learning Statistical and Geometric Models from Microarray Gene Expression Data. Virginia Tech, Blacksburg, VA, USA, 2009 - 2008
- [j5]Yitan Zhu, Huai Li, David J. Miller, Zuyi Wang, Jianhua Xuan, Robert Clarke, Eric P. Hoffman, Yue Joseph Wang:
caBIGTM VISDA: Modeling, visualization, and discovery for cluster analysis of genomic data. BMC Bioinform. 9 (2008) - [j4]Jie Yang, Xufeng Ling, Yitan Zhu, Zhonglong Zheng:
A face detection and recognition system in color image series. Math. Comput. Simul. 77(5-6): 531-539 (2008) - 2007
- [j3]Jiajing Wang, Huai Li, Yitan Zhu, Malik Yousef, Michael Nebozhyn, Michael M. Showe, Louise C. Showe, Jianhua Xuan, Robert Clarke, Yue Joseph Wang:
VISDA: an open-source caBIGTM analytical tool for data clustering and beyond. Bioinform. 23(15): 2024-2027 (2007) - [j2]Zhonglong Zheng, Jie Yang, Yitan Zhu:
Initialization enhancer for non-negative matrix factorization. Eng. Appl. Artif. Intell. 20(1): 101-110 (2007) - 2006
- [j1]Zhonglong Zheng, Jie Yang, Yitan Zhu:
Face Detection and Recognition using Colour Sequential Images. J. Res. Pract. Inf. Technol. 38(2): 135-150 (2006) - [c4]Yuanjian Feng, Zuyi Wang, Yitan Zhu, Jianhua Xuan, David J. Miller:
Learning the Tree of Phenotypes Using Genomic Data and VISDA. BIBE 2006: 165-170 - [c3]Justin Molineaux, Jianhua Xuan, Ting Gong, Yitan Zhu, Eric P. Hoffman, Robert Clarke, Yue Joseph Wang:
ModVis: An information visualization tool for gene module discovery. CAINE 2006: 24-31 - [c2]Yitan Zhu, Zuyi Wang, Yuanjian Feng, Jianhua Xuan, David J. Miller, Eric P. Hoffman, Yue Wang:
Phenotypic-Specific Gene Module Discovery using a Diagnostic Tree and caBIGTM VISDA. EMBC 2006: 5767-5770 - [c1]Ting Gong, Yitan Zhu, Jianhua Xuan, Huai Li, Robert Clarke, Eric P. Hoffman, Yue Wang:
Latent Variable and nICA Modeling of Pathway Gene Module Composite. EMBC 2006: 5872-5875
Coauthor Index
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