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An interpretable machine learning framework for diagnosis and prognosis of COVID-19

PloS one, 2023-09, Vol.18 (9), p.e0291961-e0291961

2023

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iProL: identifying DNA promoters from sequence information based on Longformer pre-trained model

BMC bioinformatics, 2024-06, Vol.25 (1), p.224-14, Article 224

2024

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IHCP: interpretable hepatitis C prediction system based on black-box machine learning models

BMC bioinformatics, 2023-09, Vol.24 (1), p.1-333, Article 333

2023

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DeepASDPred: a CNN-LSTM-based deep learning method for Autism spectrum disorders risk RNA identification

BMC bioinformatics, 2023-06, Vol.24 (1), p.261-261, Article 261

2023

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ELMo4m6A: A Contextual Language Embedding-Based Predictor for Detecting RNA N6-Methyladenosine Sites

IEEE/ACM transactions on computational biology and bioinformatics, 2023-03, Vol.20 (2), p.944-954

2023

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EGPDI: identifying protein–DNA binding sites based on multi-view graph embedding fusion

Briefings in bioinformatics, 2024-05, Vol.25 (4)

2024

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An interpretable machine learning framework for diagnosis and prognosis of COVID-19

PloS one, 2023-01, Vol.18 (9)

2023

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Pyrolyzed iron–nitrogen–carbon hybrids for efficient contaminant decomposition via periodate activation: Active site and degradation mechanism

Separation and purification technology, 2023-07, Vol.317, p.123945, Article 123945

2023

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Atomically Dispersed Gold Nanoclusters and Single Atoms Coexisting Chiral Electrode for High‐Performance Enantioselective Electrosynthesis using H 2 o as Hydrogen Source

Advanced functional materials, 2024-07, Vol.34 (28)

2024

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Atomically Dispersed Gold Nanoclusters and Single Atoms Coexisting Chiral Electrode for High‐Performance Enantioselective Electrosynthesis using H2o as Hydrogen Source

Advanced functional materials, 2024-07, Vol.34 (28), p.n/a

2024

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Effect of Quartz Crystal Form on the Measurement Performance of Multi-dimensional Force Sensor

IOP conference series. Materials Science and Engineering, 2018-10, Vol.428 (1), p.12008

2018

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Research on Cleaning and Drying Process of Quartz Wafer based on Orthogonal Experiment

2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC), 2018, p.375-379

2018

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Pyrolyzed Iron–Nitrogen–Carbon Hybrids Enable Efficient Periodate Activation Toward Contaminant Decomposition: Active Site, Degradation Mechanism, and Influential Factors

SSRN Electronic Journal

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An interpretable machine learning framework for diagnosis and prognosis of COVID-19

iProL: identifying DNA promoters from sequence information based on Longformer pre-trained model

IHCP: interpretable hepatitis C prediction system based on black-box machine learning models

DeepASDPred: a CNN-LSTM-based deep learning method for Autism spectrum disorders risk RNA identification

ELMo4m6A: A Contextual Language Embedding-Based Predictor for Detecting RNA N6-Methyladenosine Sites

EGPDI: identifying protein–DNA binding sites based on multi-view graph embedding fusion

An interpretable machine learning framework for diagnosis and prognosis of COVID-19

Pyrolyzed iron–nitrogen–carbon hybrids for efficient contaminant decomposition via periodate activation: Active site and degradation mechanism

Atomically Dispersed Gold Nanoclusters and Single Atoms Coexisting Chiral Electrode for High‐Performance Enantioselective Electrosynthesis using H 2 o as Hydrogen Source

Atomically Dispersed Gold Nanoclusters and Single Atoms Coexisting Chiral Electrode for High‐Performance Enantioselective Electrosynthesis using H2o as Hydrogen Source

Effect of Quartz Crystal Form on the Measurement Performance of Multi-dimensional Force Sensor

Research on Cleaning and Drying Process of Quartz Wafer based on Orthogonal Experiment

Pyrolyzed Iron–Nitrogen–Carbon Hybrids Enable Efficient Periodate Activation Toward Contaminant Decomposition: Active Site, Degradation Mechanism, and Influential Factors

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