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Tumor-Infiltrating CD8 T Cells Predict Clinical Breast Cancer Outcomes in Young Women

Cancers, 2020-04, Vol.12 (5), p.1076

2020

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ST-CellSeg: Cell segmentation for imaging-based spatial transcriptomics using multi-scale manifold learning

PLoS computational biology, 2024-06, Vol.20 (6), p.e1012254

2024

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NNICE: a deep quantile neural network algorithm for expression deconvolution

Scientific reports, 2024-06, Vol.14 (1), p.14040-14

2024

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A Two-Dimensional Sparse Matrix Profile DenseNet for COVID-19 Diagnosis Using Chest CT Images

IEEE access, 2020, Vol.8, p.213718-213728

2020

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SNVer: a statistical tool for variant calling in analysis of pooled or individual next-generation sequencing data

Nucleic acids research, 2011-10, Vol.39 (19), p.e132-e132

2011

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Computational Drug Repurposing for Alzheimer’s Disease Using Risk Genes From GWAS and Single-Cell RNA Sequencing Studies

Frontiers in pharmacology, 2021-06, Vol.12

2021

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Deep clustering of small molecules at large-scale via variational autoencoder embedding and K-means

BMC bioinformatics, 2022-04, Vol.23 (Suppl 4), p.132-132, Article 132

2022

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Identification of significantly mutated subnetworks in the breast cancer genome

Scientific reports, 2021-01, Vol.11 (1), p.642-642, Article 642

2021

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Association Analysis of Deep Genomic Features Extracted by Denoising Autoencoders in Breast Cancer

Cancers, 2019-04, Vol.11 (4), p.494

2019

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Integrative Data Augmentation with U-Net Segmentation Masks Improves Detection of Lymph Node Metastases in Breast Cancer Patients

Cancers, 2020-10, Vol.12 (10), p.2934

2020

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Radiogenomic association of deep MR imaging features with genomic profiles and clinical characteristics in breast cancer

Biomarker research, 2023-01, Vol.11 (1), p.9-9, Article 9

2023

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Association Analysis of Somatic Copy Number Alteration Burden With Breast Cancer Survival

Frontiers in genetics, 2018-10, Vol.9, p.421-421

2018

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A novel integrative computational framework for breast cancer radiogenomic biomarker discovery

Computational and structural biotechnology journal, 2022-01, Vol.20, p.2484-2494

2022

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A machine learning model trained on a high-throughput antibacterial screen increases the hit rate of drug discovery

PLoS computational biology, 2022-10, Vol.18 (10), p.e1010613-e1010613

2022

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Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and COVID-19

Journal of translational medicine, 2021-07, Vol.19 (1), p.1-318, Article 318

2021

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Predicting breast cancer drug response using a multiple-layer cell line drug response network model

BMC cancer, 2021-05, Vol.21 (1), p.1-648, Article 648

2021

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Computational drug repurposing for inflammatory bowel disease using genetic information

Computational and structural biotechnology journal, 2019-01, Vol.17, p.127-135

2019

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ABT-MPNN: an atom-bond transformer-based message-passing neural network for molecular property prediction

Journal of cheminformatics, 2023-02, Vol.15 (1), p.29-29, Article 29

2023

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Computational Prediction of the Pathogenic Status of Cancer-Specific Somatic Variants

Frontiers in genetics, 2022-01, Vol.12, p.805656

2022

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Deep graph embedding for prioritizing synergistic anticancer drug combinations

Computational and structural biotechnology journal, 2020-01, Vol.18, p.427-438

2020

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Epigenetic Profiling in Severe Sepsis: A Pilot Study of DNA Methylation Profiles in Critical Illness

Critical care medicine, 2020-02, Vol.48 (2), p.142-150

2020

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The Histone Methyltransferase Enzyme Enhancer of Zeste Homolog 2 Protects against Podocyte Oxidative Stress and Renal Injury in Diabetes

Journal of the American Society of Nephrology, 2016-07, Vol.27 (7), p.2021-2034

2016

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Semi-supervised COVID-19 CT image segmentation using deep generative models

BMC bioinformatics, 2022-08, Vol.23 (Suppl 7), p.1-343, Article 343

2022

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An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease

BMC bioinformatics, 2018-07, Vol.19 (1), p.264-264, Article 264

2018

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Long Non-Coding RNA H19 Acts as an Estrogen Receptor Modulator that is Required for Endocrine Therapy Resistance in ER+ Breast Cancer Cells

Cellular physiology and biochemistry, 2018-01, Vol.51 (4), p.1518-1532

2018

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Tumor-Infiltrating CD8 T Cells Predict Clinical Breast Cancer Outcomes in Young Women

ST-CellSeg: Cell segmentation for imaging-based spatial transcriptomics using multi-scale manifold learning

NNICE: a deep quantile neural network algorithm for expression deconvolution

A Two-Dimensional Sparse Matrix Profile DenseNet for COVID-19 Diagnosis Using Chest CT Images

SNVer: a statistical tool for variant calling in analysis of pooled or individual next-generation sequencing data

Computational Drug Repurposing for Alzheimer’s Disease Using Risk Genes From GWAS and Single-Cell RNA Sequencing Studies

Deep clustering of small molecules at large-scale via variational autoencoder embedding and K-means

Identification of significantly mutated subnetworks in the breast cancer genome

Association Analysis of Deep Genomic Features Extracted by Denoising Autoencoders in Breast Cancer

Integrative Data Augmentation with U-Net Segmentation Masks Improves Detection of Lymph Node Metastases in Breast Cancer Patients

Radiogenomic association of deep MR imaging features with genomic profiles and clinical characteristics in breast cancer

Association Analysis of Somatic Copy Number Alteration Burden With Breast Cancer Survival

A novel integrative computational framework for breast cancer radiogenomic biomarker discovery

A machine learning model trained on a high-throughput antibacterial screen increases the hit rate of drug discovery

Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and COVID-19

Predicting breast cancer drug response using a multiple-layer cell line drug response network model

Computational drug repurposing for inflammatory bowel disease using genetic information

ABT-MPNN: an atom-bond transformer-based message-passing neural network for molecular property prediction

Computational Prediction of the Pathogenic Status of Cancer-Specific Somatic Variants

Deep graph embedding for prioritizing synergistic anticancer drug combinations

Epigenetic Profiling in Severe Sepsis: A Pilot Study of DNA Methylation Profiles in Critical Illness

The Histone Methyltransferase Enzyme Enhancer of Zeste Homolog 2 Protects against Podocyte Oxidative Stress and Renal Injury in Diabetes

Semi-supervised COVID-19 CT image segmentation using deep generative models

An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease

Long Non-Coding RNA H19 Acts as an Estrogen Receptor Modulator that is Required for Endocrine Therapy Resistance in ER+ Breast Cancer Cells

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