Yitan Zhu

发表

A Bayesian hierarchical model for inference across related reverse phase protein arrays experiments

Riten Mitra, Peter Müller, Yuan Ji, 2014, Journal of applied statistics.

A Nonparametric Bayesian Model for Local Clustering With Application to Proteomics

Peter Müller, Yuan Ji, Yitan Zhu, 2013, Journal of the American Statistical Association.

Gene expression dissection by non-negative well-grounded source separation

Yue Wang, Yitan Zhu, Tsung-Han Chan, 2008, 2008 IEEE Workshop on Machine Learning for Signal Processing.

A ground truth based comparative study on clustering of gene expression data.

Robert Clarke, Jianhua Xuan, Yue Wang, 2008, Frontiers in bioscience : a journal and virtual library.

Heterogeneous reciprocal graphical models

Yang Ni, Peter Müller, Yuan Ji, 2016, Biometrics.

Learning the Tree of Phenotypes Using Genomic Data and VISDA

Jianhua Xuan, David J. Miller, Yitan Zhu, 2006, Sixth IEEE Symposium on BioInformatics and BioEngineering (BIBE'06).

Clustering distributions with the marginalized nested Dirichlet process.

Peter Müller, Yuan Ji, Yitan Zhu, 2018, Biometrics.

A Nonparametric Bayesian Model for Nested Clustering.

Peter Müller, Yuan Ji, Yitan Zhu, 2016, Methods in molecular biology.

Initialization enhancer for non-negative matrix factorization

Jie Yang, Yitan Zhu, Zhonglong Zheng, 2007, Eng. Appl. Artif. Intell..

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

Jianhua Xuan, Yue Wang, Yitan Zhu, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Face Detection and Recognition using Colour Sequential

Jie Yang, Yitan Zhu, Jie Yang, 2006 .

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

Robert Clarke, Huai Li, Eric P. Hoffman, 2008, BMC Bioinformatics.

VISDA: an open-source caBIGTM analytical tool for data clustering and beyond

Robert Clarke, Huai Li, Louise C. Showe, 2007, Bioinform..

Bayesian nonparametric clustering for large data sets

Yuan Ji, Yitan Zhu, Peter Müller, 2019, Stat. Comput..

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

Fangfang Xia, Rick L. Stevens, Yitan Zhu, 2020, ArXiv.

A Bayesian Graphical Model for Integrative Analysis of TCGA Data: BayesGraph for TCGA Integration

Yuan Ji, Debashis Ghosh, Yitan Zhu, 2015 .

ModVis: An information visualization tool for gene module discovery

Robert Clarke, Eric P. Hoffman, Jianhua Xuan, 2006, CAINE.

Ensemble transfer learning for the prediction of anti-cancer drug response

Maulik Shukla, Rick L. Stevens, Yitan Zhu, 2020, Scientific Reports.

TCGA-Assembler 2: Software Pipeline for Retrieval and Processing of TCGA/CPTAC Data

Lin Wei, Yitan Zhu, Yuan Ji, 2017 .

Convex Analysis of Mixtures for Separating Non-negative Well-grounded Sources

Niya Wang, Yue Wang, Yitan Zhu, 2016, Scientific reports.

TCGA-Assembler 2: Software Pipeline for Retrieval and Processing of TCGA/CPTAC Data

Yuan Ji, Lin Wei, Yitan Zhu, 2017, bioRxiv.

Learning Statistical and Geometric Models from Microarray Gene Expression Data

Yitan Zhu, Yitan Zhu, 2009 .

Face Detection and Recognition using Colour Sequential Images

Jie Yang, Yitan Zhu, Zhonglong Zheng, 2006, J. Res. Pract. Inf. Technol..

A face detection and recognition system in color image series

Jie Yang, Yitan Zhu, Zhonglong Zheng, 2008, Math. Comput. Simul..

Scalable Bayesian Nonparametric Clustering and Classification

Yang Ni, Yuan Ji, Yitan Zhu, 2018, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Composite Gene Module Discovery using Non-negative Independent Component Analysis

Jianhua Xuan, Yitan Zhu, Ting Gong, 2006, 2006 IEEE/NLM Life Science Systems and Applications Workshop.

Zodiac: A Comprehensive Depiction of Genetic Interactions in Cancer by Integrating TCGA Data.

Riten Mitra, Peter Müller, Yuan Ji, 2015, Journal of the National Cancer Institute.

Ultra-fast local-haplotype variant calling using paired-end DNA-sequencing data reveals somatic mosaicism in tumor and normal blood samples

Yuan Ji, Yitan Zhu, Carole Ober, 2015, Nucleic acids research.

Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling

Maryellen L. Giger, Yuan Ji, Karen Drukker, 2019, Cancer Imaging.

Enhanced Co-Expression Extrapolation (COXEN) Gene Selection Method for Building Anti-Cancer Drug Response Prediction Models

Fangfang Xia, Rick L Stevens, Maulik Shukla, 2020, Genes.