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TCGA-assembler: open-source software for retrieving and processing TCGA data

Nature methods, 2014-06, Vol.11 (6), p.599

2014

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TCGA-assembler 2: software pipeline for retrieval and processing of TCGA/CPTAC data

Bioinformatics, 2018-05, Vol.34 (9), p.1615-1617

2018

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Prediction of chronic kidney disease progression using recurrent neural network and electronic health records

Scientific reports, 2023-12, Vol.13 (1), p.22091-22091, Article 22091

2023

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Converting tabular data into images for deep learning with convolutional neural networks

Scientific reports, 2021-05, Vol.11 (1), p.11325-11, Article 11325

2021

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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

Radiology, 2016-11, Vol.281 (2), p.382

2016

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A Chaperome Subnetwork Safeguards Proteostasis in Aging and Neurodegenerative Disease

Cell reports (Cambridge), 2014-11, Vol.9 (3), p.1135-1150

2014

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Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma

Scientific reports, 2015-12, Vol.5 (1), p.17787-17787, Article 17787

2015

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Publisher Correction: Converting tabular data into images for deep learning with convolutional neural networks

Scientific reports, 2021-07, Vol.11 (1), p.1-1, Article 14036

2021

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Learning curves for drug response prediction in cancer cell lines

BMC bioinformatics, 2021-05, Vol.22 (1), p.252-252, Article 252

2021

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Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set

NPJ breast cancer, 2016-05, Vol.2 (1), p.16012, Article 16012

2016

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

Cancer imaging, 2019-07, Vol.19 (1), p.48-48, Article 48

2019

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Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data

Journal of medical imaging (Bellingham, Wash.), 2015-10, Vol.2 (4), p.041007-041007

2015

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Deep learning methods for drug response prediction in cancer: Predominant and emerging trends

Frontiers in medicine, 2023-02, Vol.10, p.1086097-1086097

2023

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Integration of Computational Docking into Anti-Cancer Drug Response Prediction Models

Cancers, 2023-12, Vol.16 (1), p.50

2023

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A Comprehensive Investigation of Active Learning Strategies for Conducting Anti-Cancer Drug Screening

Cancers, 2024-01, Vol.16 (3), p.530

2024

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

Genes, 2020-09, Vol.11 (9), p.1070

2020

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Nuclear envelope dystrophies show a transcriptional fingerprint suggesting disruption of Rb–MyoD pathways in muscle regeneration

Brain (London, England : 1878), 2006-04, Vol.129 (4), p.996-1013

2006

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

JNCI : Journal of the National Cancer Institute, 2015-08, Vol.107 (8), p.1

2015

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TU-A-207B-00: Imaging Genomics Associations and Biological Correlates of Radiomics

Medical physics (Lancaster), 2016-06, Vol.43 (6), p.3741-3741

Zhu, Yitan

2016

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Initialization enhancer for non-negative matrix factorization

Engineering applications of artificial intelligence, 2007-02, Vol.20 (1), p.101-110

2007

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Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images

Frontiers in medicine, 2023-03, Vol.10, p.1058919-1058919

2023

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Heterogeneous Reciprocal Graphical Models

Biometrics, 2018-06, Vol.74 (2), p.606-615

2018

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Characterizing Cancer-Specific Networks by Integrating TCGA Data

Cancer informatics, 2014, Vol.2014 (Suppl. 2), p.125-131

2014

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A face detection and recognition system in color image series

Mathematics and computers in simulation, 2008-05, Vol.77 (5), p.531-539

2008

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

Scientific reports, 2020-10, Vol.10 (1), p.18040-18040, Article 18040

2020

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TCGA-assembler: open-source software for retrieving and processing TCGA data

TCGA-assembler 2: software pipeline for retrieval and processing of TCGA/CPTAC data

Prediction of chronic kidney disease progression using recurrent neural network and electronic health records

Converting tabular data into images for deep learning with convolutional neural networks

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

A Chaperome Subnetwork Safeguards Proteostasis in Aging and Neurodegenerative Disease

Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma

Publisher Correction: Converting tabular data into images for deep learning with convolutional neural networks

Learning curves for drug response prediction in cancer cell lines

Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set

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

Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data

Deep learning methods for drug response prediction in cancer: Predominant and emerging trends

Integration of Computational Docking into Anti-Cancer Drug Response Prediction Models

A Comprehensive Investigation of Active Learning Strategies for Conducting Anti-Cancer Drug Screening

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

Nuclear envelope dystrophies show a transcriptional fingerprint suggesting disruption of Rb–MyoD pathways in muscle regeneration

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

TU-A-207B-00: Imaging Genomics Associations and Biological Correlates of Radiomics

Initialization enhancer for non-negative matrix factorization

Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images

Heterogeneous Reciprocal Graphical Models

Characterizing Cancer-Specific Networks by Integrating TCGA Data

A face detection and recognition system in color image series

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

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