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Novel deep learning model for more accurate prediction of drug-drug interaction effects

BMC bioinformatics, 2019-08, Vol.20 (1), p.415-415, Article 415

2019

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Energy saving electrochromic windows from bistable low-HOMO level conjugated polymers

Energy & environmental science, 2016-01, Vol.9 (1), p.117-122

2016

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MLMD: Metric Learning for Predicting MiRNA-Disease Associations

IEEE access, 2021, Vol.9, p.78847-78858

2021

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Integrative gene network construction to analyze cancer recurrence using semi-supervised learning

PloS one, 2014-01, Vol.9 (1), p.e86309-e86309

2014

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Electrical Chiral Assembly Switching of Soluble Conjugated Polymers from Propylenedioxythiophene-Phenylene Copolymers

Macromolecules, 2014-10, Vol.47 (20), p.7043-7051

2014

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Myeloid-Derived Suppressor Cell Subsets Drive Glioblastoma Growth in a Sex-Specific Manner

Cancer discovery, 2020-08, Vol.10 (8), p.1210-1225

2020

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Machine learning-based identification of genetic interactions from heterogeneous gene expression profiles

PloS one, 2018-07, Vol.13 (7), p.e0201056-e0201056

2018

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A spatiotemporal analysis of opioid poisoning mortality in Ohio from 2010 to 2016

Scientific reports, 2021-02, Vol.11 (1), p.4692-9, Article 4692

2021

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Improved Prediction of miRNA-Disease Associations Based on Matrix Completion with Network Regularization

Cells (Basel, Switzerland), 2020-04, Vol.9 (4), p.881

2020

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Die-Attach Structure of Silicon-on-Glass MEMS Devices Considering Asymmetric Packaging Stress and Thermal Stress

Sensors (Basel, Switzerland), 2019-09, Vol.19 (18), p.3979

2019

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Improved Prediction of Cancer Outcome Using Graph-Embedded Generative Adversarial Networks

IEEE access, 2021, Vol.9, p.20076-20088

2021

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Photothermally Induced Local Dissociation of Collagens for Harvesting of Cell Sheets

Angewandte Chemie (International ed.), 2015-05, Vol.54 (20), p.5869-5873

International ed. in English, 2015

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CASS: A distributed network clustering algorithm based on structure similarity for large-scale network

PloS one, 2018-10, Vol.13 (10), p.e0203670-e0203670

2018

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Prediction of Alzheimer's disease based on deep neural network by integrating gene expression and DNA methylation dataset

Expert systems with applications, 2020-02, Vol.140, p.112873, Article 112873

2020

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Improving Data Sparsity in Recommender Systems Using Matrix Regeneration with Item Features

Mathematics (Basel), 2023-01, Vol.11 (2), p.292

2023

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CRISPR/Cas13a-assisted AMP generation for SARS-CoV-2 RNA detection using a personal glucose meter

Biosensors and bioelectronics. X, 2022-12, Vol.12, p.100283-100283, Article 100283

2022

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PISTON: Predicting drug indications and side effects using topic modeling and natural language processing

Journal of biomedical informatics, 2018-11, Vol.87, p.96-107

2018

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NIR Electrofluorochromic Properties of Aza-Boron-dipyrromethene Dyes

Scientific reports, 2016-01, Vol.6 (1), p.18867-18867, Article 18867

2016

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Design and fabrication of a silicon-based MEMS acceleration switch working lower than 10 g

Journal of micromechanics and microengineering, 2017-05, Vol.27 (6), p.65009

2017

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Flexible PEDOT electrodes with large thermoelectric power factors to generate electricity by the touch of fingertips

Energy & environmental science, 2013-03, Vol.6 (3), p.788-792

2013

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Evaluation of nutritional status and clinical depression classification using an explainable machine learning method

Frontiers in nutrition (Lausanne), 2023-05, Vol.10, p.1165854-1165854

2023

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On the Smaller Number of Inputs for Determining User Preferences in Recommender Systems

Mathematics (Basel), 2020-12, Vol.8 (12), p.2138

2020

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Combinatorial feature embedding based on CNN and LSTM for biomedical named entity recognition

Journal of biomedical informatics, 2020-03, Vol.103, p.103381-103381, Article 103381

2020

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Predicting progression to dementia with “comprehensive visual rating scale” and machine learning algorithms

Frontiers in neurology, 2022-08, Vol.13, p.906257-906257

2022

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A multi-sample based method for identifying common CNVs in normal human genomic structure using high-resolution aCGH data

PloS one, 2011-10, Vol.6 (10), p.e26975-e26975

2011

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Novel deep learning model for more accurate prediction of drug-drug interaction effects

Energy saving electrochromic windows from bistable low-HOMO level conjugated polymers

MLMD: Metric Learning for Predicting MiRNA-Disease Associations

Integrative gene network construction to analyze cancer recurrence using semi-supervised learning

Electrical Chiral Assembly Switching of Soluble Conjugated Polymers from Propylenedioxythiophene-Phenylene Copolymers

Myeloid-Derived Suppressor Cell Subsets Drive Glioblastoma Growth in a Sex-Specific Manner

Machine learning-based identification of genetic interactions from heterogeneous gene expression profiles

A spatiotemporal analysis of opioid poisoning mortality in Ohio from 2010 to 2016

Improved Prediction of miRNA-Disease Associations Based on Matrix Completion with Network Regularization

Die-Attach Structure of Silicon-on-Glass MEMS Devices Considering Asymmetric Packaging Stress and Thermal Stress

Improved Prediction of Cancer Outcome Using Graph-Embedded Generative Adversarial Networks

Photothermally Induced Local Dissociation of Collagens for Harvesting of Cell Sheets

CASS: A distributed network clustering algorithm based on structure similarity for large-scale network

Prediction of Alzheimer's disease based on deep neural network by integrating gene expression and DNA methylation dataset

Improving Data Sparsity in Recommender Systems Using Matrix Regeneration with Item Features

CRISPR/Cas13a-assisted AMP generation for SARS-CoV-2 RNA detection using a personal glucose meter

PISTON: Predicting drug indications and side effects using topic modeling and natural language processing

NIR Electrofluorochromic Properties of Aza-Boron-dipyrromethene Dyes

Design and fabrication of a silicon-based MEMS acceleration switch working lower than 10 g

Flexible PEDOT electrodes with large thermoelectric power factors to generate electricity by the touch of fingertips

Evaluation of nutritional status and clinical depression classification using an explainable machine learning method

On the Smaller Number of Inputs for Determining User Preferences in Recommender Systems

Combinatorial feature embedding based on CNN and LSTM for biomedical named entity recognition

Predicting progression to dementia with “comprehensive visual rating scale” and machine learning algorithms

A multi-sample based method for identifying common CNVs in normal human genomic structure using high-resolution aCGH data

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