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Yitan Zhu
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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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last updated on 2024-08-25 19:10 CEST by the dblp team
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