Yitan Zhu
Yitan Zhu
Computational Scientist, Argonne National Laboratory
Zweryfikowany adres z vt.edu - Strona główna
Cytowane przez
Cytowane przez
A chaperome subnetwork safeguards proteostasis in aging and neurodegenerative disease
M Brehme, C Voisine, T Rolland, S Wachi, J Soper, Y Zhu, K Orton, ...
Cell Reports 9 (3), 1135-1150, 2014
MR imaging radiomics signatures for predicting the risk of breast cancer recurrence as given by research versions of MammaPrint, Oncotype DX, and PAM50 gene assays
H Li, Y Zhu, ES Burnside, K Drukker, KA Hoadley, C Fan, SD Conzen, ...
Radiology 281 (2), 382-391, 2016
TCGA-Assembler: Open-Source Software for Retrieving and Processing TCGA Data
Y Zhu, P Qiu, Y Ji
Nature Methods 11 (6), 599–600, 2014
Nuclear envelope dystrophies show a transcriptional fingerprint suggesting disruption of Rb–MyoD pathways in muscle regeneration
M Bakay, Z Wang, G Melcon, L Schiltz, J Xuan, P Zhao, V Sartorelli, J Seo, ...
Brain 129 (4), 996-1013, 2006
Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set
H Li, Y Zhu, ES Burnside, E Huang, K Drukker, KA Hoadley, C Fan, ...
NPJ breast cancer 2 (1), 1-10, 2016
Deciphering genomic underpinnings of quantitative MRI-based radiomic phenotypes of invasive breast carcinoma
Y Zhu, H Li, W Guo, K Drukker, L Lan, ML Giger, Y Ji
Scientific reports 5 (1), 1-10, 2015
TCGA-assembler 2: software pipeline for retrieval and processing of TCGA/CPTAC data
L Wei, Z Jin, S Yang, Y Xu, Y Zhu, Y Ji
Bioinformatics 34 (9), 1615-1617, 2018
Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data
W Guo, H Li, Y Zhu, L Lan, S Yang, K Drukker, EA Morris, ES Burnside, ...
Journal of medical imaging 2 (4), 041007, 2015
Initialization enhancer for non-negative matrix factorization
Z Zheng, J Yang, Y Zhu
Engineering Applications of Artificial Intelligence 20 (1), 101-110, 2007
Using computer‐extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage
ES Burnside, K Drukker, H Li, E Bonaccio, M Zuley, M Ganott, JM Net, ...
Cancer 122 (5), 748-757, 2016
A face detection and recognition system in color image series
J Yang, X Ling, Y Zhu, Z Zheng
Mathematics and Computers in Simulation 77 (5-6), 531-539, 2008
Zodiac: a comprehensive depiction of genetic interactions in cancer by integrating TCGA data
Y Zhu, Y Xu, DL Helseth Jr, K Gulukota, S Yang, LL Pesce, R Mitra, ...
Journal of the National Cancer Institute 107 (8), djv129, 2015
Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling
AC Yeh, H Li, Y Zhu, J Zhang, G Khramtsova, K Drukker, A Edwards, ...
Cancer Imaging 19 (1), 1-11, 2019
A Nonparametric Bayesian Model for Local Clustering With Application to Proteomics
J Lee, P Müller, Y Zhu, Y Ji
Journal of the American Statistical Association 108 (503), 775-788, 2013
VISDA: an open-source caBIG™ analytical tool for data clustering and beyond
J Wang, H Li, Y Zhu, M Yousef, M Nebozhyn, M Showe, L Showe, J Xuan, ...
Bioinformatics 23 (15), 2024-2027, 2007
Imaging-genomic study of head and neck squamous cell carcinoma: associations between radiomic phenotypes and genomic mechanisms via integration of The Cancer Genome Atlas and …
Y Zhu, ASR Mohamed, SY Lai, S Yang, A Kanwar, L Wei, M Kamal, ...
JCO clinical cancer informatics 3, 1-9, 2019
Heterogeneous reciprocal graphical models
Y Ni, P Müller, Y Zhu, Y Ji
Biometrics 74 (2), 606-615, 2018
caBIG™ VISDA: Modeling, visualization, and discovery for cluster analysis of genomic data
Y Zhu, H Li, DJ Miller, Z Wang, J Xuan, R Clarke, EP Hoffman, Y Wang
BMC bioinformatics 9 (1), 1-18, 2008
An oncolytic adenovirus targeting transforming growth factor β inhibits protumorigenic signals and produces immune activation: a novel approach to enhance anti-PD-1 and anti …
Y Yang, W Xu, D Peng, H Wang, X Zhang, H Wang, F Xiao, Y Zhu, Y Ji, ...
Human gene therapy 30 (9), 1117-1132, 2019
Ultra-fast local-haplotype variant calling using paired-end DNA-sequencing data reveals somatic mosaicism in tumor and normal blood samples
S Sengupta, K Gulukota, Y Zhu, C Ober, K Naughton, ...
Nucleic acids research 44 (3), e25-e25, 2016
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Prace 1–20