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Predicting the types of metabolic pathway of compounds using molecular fragments and sequential minimal optimization

Combinatorial chemistry & high throughput screening, 2016-01, Vol.19 (2), p.136-143

2016

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Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine

Cancer gene therapy, 2020-02, Vol.27 (1-2), p.56-69

2020

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Predicting Heart Cell Types by Using Transcriptome Profiles and a Machine Learning Method

Life (Basel, Switzerland), 2022-01, Vol.12 (2), p.228

2022

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Identifying MicroRNA Markers That Predict COVID-19 Severity Using Machine Learning Methods

Life (Basel, Switzerland), 2022-11, Vol.12 (12), p.1964

2022

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Identifying COVID-19 Severity-Related SARS-CoV-2 Mutation Using a Machine Learning Method

Life (Basel, Switzerland), 2022-05, Vol.12 (6), p.806

2022

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Identification of Genes Associated with the Impairment of Olfactory and Gustatory Functions in COVID-19 via Machine-Learning Methods

Life (Basel, Switzerland), 2023-03, Vol.13 (3), p.798

2023

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Prediction of Lysine Malonylation Sites Based on Pseudo Amino Acid

Combinatorial chemistry & high throughput screening, 2017-01, Vol.20 (7), p.622

2017

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Identification of Cell Markers and Their Expression Patterns in Skin Based on Single-Cell RNA-Sequencing Profiles

Life (Basel, Switzerland), 2022-04, Vol.12 (4), p.550

2022

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Immune responses of different COVID-19 vaccination strategies by analyzing single-cell RNA sequencing data from multiple tissues using machine learning methods

Frontiers in genetics, 2023-03, Vol.14, p.1157305-1157305

2023

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Identification of genes related to immune enhancement caused by heterologous ChAdOx1-BNT162b2 vaccines in lymphocytes at single-cell resolution with machine learning methods

Frontiers in immunology, 2023-03, Vol.14, p.1131051-1131051

2023

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Machine Learning Reveals Impacts of Smoking on Gene Profiles of Different Cell Types in Lung

Life (Basel, Switzerland), 2024-04, Vol.14 (4), p.502

2024

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Identification of methylation signatures associated with CAR T cell in B-cell acute lymphoblastic leukemia and non-hodgkin’s lymphoma

Frontiers in oncology, 2022-08, Vol.12, p.976262-976262

2022

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Identifying Key MicroRNA Signatures for Neurodegenerative Diseases With Machine Learning Methods

Frontiers in genetics, 2022-04, Vol.13, p.880997-880997

2022

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Identification of dynamic gene expression profiles during sequential vaccination with ChAdOx1/BNT162b2 using machine learning methods

Frontiers in microbiology, 2023-03, Vol.14, p.1138674-1138674

2023

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Detecting Brain Structure-Specific Methylation Signatures and Rules for Alzheimer's Disease

Frontiers in neuroscience, 2022-05, Vol.16, p.895181-895181

2022

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Identification of Colon Immune Cell Marker Genes Using Machine Learning Methods

Life (Basel, Switzerland), 2023-09, Vol.13 (9), p.1876

2023

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Identification of methylation signatures and rules for predicting the severity of SARS-CoV-2 infection with machine learning methods

Frontiers in microbiology, 2022-09, Vol.13, p.1007295-1007295

2022

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Performance of ChatGPT on prehospital acute ischemic stroke and large vessel occlusion (LVO) stroke screening

Digital health, 2024-01, Vol.10, p.20552076241297127

2024

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Correction: High homocysteine is associated with idiopathic normal pressure hydrocephalus in deep perforating arteriopathy: a cross-sectional study

BMC geriatrics, 2023-09, Vol.23 (1), p.1-541, Article 541

2023

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High homocysteine is associated with idiopathic normal pressure hydrocephalus in deep perforating arteriopathy: a cross-sectional study

BMC geriatrics, 2023-06, Vol.23 (1), p.382-382, Article 382

2023

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Identification of COVID-19 severity biomarkers based on feature selection on single-cell RNA-Seq data of CD8 + T cells

Frontiers in genetics, 2022-11, Vol.13, p.1053772

2022

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Machine Learning in Identifying Marker Genes for Congenital Heart Diseases of Different Cardiac Cell Types

Life (Basel, Switzerland), 2024-08, Vol.14 (8), p.1032

2024

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Detecting Blood Methylation Signatures in Response to Childhood Cancer Radiotherapy via Machine Learning Methods

Biology (Basel, Switzerland), 2022-04, Vol.11 (4), p.607

2022

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Identification of COVID-19-Specific Immune Markers Using a Machine Learning Method

Frontiers in molecular biosciences, 2022-07, Vol.9, p.952626-952626

2022

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Characterization of chromatin accessibility patterns in different mouse cell types using machine learning methods at single-cell resolution

Frontiers in genetics, 2023-03, Vol.14, p.1145647-1145647

2023

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Predicting the types of metabolic pathway of compounds using molecular fragments and sequential minimal optimization

Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine

Predicting Heart Cell Types by Using Transcriptome Profiles and a Machine Learning Method

Identifying MicroRNA Markers That Predict COVID-19 Severity Using Machine Learning Methods

Identifying COVID-19 Severity-Related SARS-CoV-2 Mutation Using a Machine Learning Method

Identification of Genes Associated with the Impairment of Olfactory and Gustatory Functions in COVID-19 via Machine-Learning Methods

Prediction of Lysine Malonylation Sites Based on Pseudo Amino Acid

Identification of Cell Markers and Their Expression Patterns in Skin Based on Single-Cell RNA-Sequencing Profiles

Immune responses of different COVID-19 vaccination strategies by analyzing single-cell RNA sequencing data from multiple tissues using machine learning methods

Identification of genes related to immune enhancement caused by heterologous ChAdOx1-BNT162b2 vaccines in lymphocytes at single-cell resolution with machine learning methods

Machine Learning Reveals Impacts of Smoking on Gene Profiles of Different Cell Types in Lung

Identification of methylation signatures associated with CAR T cell in B-cell acute lymphoblastic leukemia and non-hodgkin’s lymphoma

Identifying Key MicroRNA Signatures for Neurodegenerative Diseases With Machine Learning Methods

Identification of dynamic gene expression profiles during sequential vaccination with ChAdOx1/BNT162b2 using machine learning methods

Detecting Brain Structure-Specific Methylation Signatures and Rules for Alzheimer's Disease

Identification of Colon Immune Cell Marker Genes Using Machine Learning Methods

Identification of methylation signatures and rules for predicting the severity of SARS-CoV-2 infection with machine learning methods

Performance of ChatGPT on prehospital acute ischemic stroke and large vessel occlusion (LVO) stroke screening

Correction: High homocysteine is associated with idiopathic normal pressure hydrocephalus in deep perforating arteriopathy: a cross-sectional study

High homocysteine is associated with idiopathic normal pressure hydrocephalus in deep perforating arteriopathy: a cross-sectional study

Identification of COVID-19 severity biomarkers based on feature selection on single-cell RNA-Seq data of CD8 + T cells

Machine Learning in Identifying Marker Genes for Congenital Heart Diseases of Different Cardiac Cell Types

Detecting Blood Methylation Signatures in Response to Childhood Cancer Radiotherapy via Machine Learning Methods

Identification of COVID-19-Specific Immune Markers Using a Machine Learning Method

Characterization of chromatin accessibility patterns in different mouse cell types using machine learning methods at single-cell resolution

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