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A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients

Expert systems with applications, 2020-12, Vol.160, p.113661-113661, Article 113661

2020

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TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets

Knowledge-based systems, 2021-08, Vol.226, p.107126-107126, Article 107126

2021

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Recognition of human emotions using EEG signals: A review

Computers in biology and medicine, 2021-09, Vol.136, p.104696-104696, Article 104696

2021

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Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison

Computers in biology and medicine, 2021-09, Vol.136, p.104672-104672, Article 104672

2021

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AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning

Scientific reports, 2022-05, Vol.12 (1), p.7697-7697, Article 7697

2022

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Osteoclasts control reactivation of dormant myeloma cells by remodelling the endosteal niche

Nature communications, 2015-12, Vol.6 (1), p.8983-8983, Article 8983

2015

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SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins

Scientific reports, 2022-03, Vol.12 (1), p.4106-4106, Article 4106

2022

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System biology and bioinformatics pipeline to identify comorbidities risk association: Neurodegenerative disorder case study

PloS one, 2021-05, Vol.16 (5), p.e0250660

2021

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A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images

Computers in biology and medicine, 2021-12, Vol.139, p.105014-105014, Article 105014

2021

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Machine learning-based statistical analysis for early stage detection of cervical cancer

Computers in biology and medicine, 2021-12, Vol.139, p.104985-104985, Article 104985

2021

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Cord blood-derived macrophage-lineage cells rapidly stimulate osteoblastic maturation in mesenchymal stem cells in a glycoprotein-130 dependent manner

PloS one, 2013-09, Vol.8 (9), p.e73266-e73266

2013

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Identification of molecular signatures and pathways to identify novel therapeutic targets in Alzheimer's disease: Insights from a systems biomedicine perspective

Genomics (San Diego, Calif.), 2020-03, Vol.112 (2), p.1290-1299

2020

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HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN

Neural networks, 2023-05, Vol.162, p.271-287

2023

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A new sol–gel process for producing Na2O-containing bioactive glass ceramics

Acta biomaterialia, 2010-10, Vol.6 (10), p.4143-4153

2010

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Machine learning models for classification and identification of significant attributes to detect type 2 diabetes

Health information science and systems, 2022-02, Vol.10 (1), p.2-2, Article 2

2022

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Genetic effects of welding fumes on the progression of neurodegenerative diseases

Neurotoxicology (Park Forest South), 2019-03, Vol.71, p.93-101

2019

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COVID-19 patient transcriptomic and genomic profiling reveals comorbidity interactions with psychiatric disorders

Translational psychiatry, 2021-03, Vol.11 (1), p.160-160, Article 160

2021

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Interleukin-33, a Target of Parathyroid Hormone and Oncostatin M, Increases Osteoblastic Matrix Mineral Deposition and Inhibits Osteoclast Formation in Vitro

Endocrinology (Philadelphia), 2011-05, Vol.152 (5), p.1911-1922

2011

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A Network-Based Bioinformatics Approach to Identify Molecular Biomarkers for Type 2 Diabetes that Are Linked to the Progression of Neurological Diseases

International journal of environmental research and public health, 2020-02, Vol.17 (3), p.1035

2020

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Gene expression profiling of SARS-CoV-2 infections reveal distinct primary lung cell and systemic immune infection responses that identify pathways relevant in COVID-19 disease

Briefings in bioinformatics, 2021-03, Vol.22 (2), p.1324-1337

2021

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Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbidities

Briefings in bioinformatics, 2021-03, Vol.22 (2), p.1387-1401

2021

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Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortality

Journal of biomedical informatics, 2019-12, Vol.100, p.103313-103313, Article 103313

2019

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Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression

Briefings in bioinformatics, 2021-09, Vol.22 (5)

2021

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Eriodictyol Inhibits RANKL-Induced Osteoclast Formation and Function Via Inhibition of NFATc1 Activity

Journal of cellular physiology, 2016-09, Vol.231 (9), p.1983-1993

2016

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A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients

TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets

Recognition of human emotions using EEG signals: A review

Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison

AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning

Osteoclasts control reactivation of dormant myeloma cells by remodelling the endosteal niche

SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins

System biology and bioinformatics pipeline to identify comorbidities risk association: Neurodegenerative disorder case study

A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images

Machine learning-based statistical analysis for early stage detection of cervical cancer

Cord blood-derived macrophage-lineage cells rapidly stimulate osteoblastic maturation in mesenchymal stem cells in a glycoprotein-130 dependent manner

Identification of molecular signatures and pathways to identify novel therapeutic targets in Alzheimer's disease: Insights from a systems biomedicine perspective

HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN

A new sol–gel process for producing Na2O-containing bioactive glass ceramics

Machine learning models for classification and identification of significant attributes to detect type 2 diabetes

Genetic effects of welding fumes on the progression of neurodegenerative diseases

COVID-19 patient transcriptomic and genomic profiling reveals comorbidity interactions with psychiatric disorders

Interleukin-33, a Target of Parathyroid Hormone and Oncostatin M, Increases Osteoblastic Matrix Mineral Deposition and Inhibits Osteoclast Formation in Vitro

A Network-Based Bioinformatics Approach to Identify Molecular Biomarkers for Type 2 Diabetes that Are Linked to the Progression of Neurological Diseases

Gene expression profiling of SARS-CoV-2 infections reveal distinct primary lung cell and systemic immune infection responses that identify pathways relevant in COVID-19 disease

Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbidities

Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortality

Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression

Defective protein prenylation is a diagnostic biomarker of mevalonate kinase deficiency

Eriodictyol Inhibits RANKL-Induced Osteoclast Formation and Function Via Inhibition of NFATc1 Activity

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