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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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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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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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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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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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HSP90 inhibitors enhance differentiation and MITF (microphthalmia transcription factor) activity in osteoclast progenitors

Biochemical journal, 2013-04, Vol.451 (2), p.235-244

2013

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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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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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Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity

Healthcare (Basel), 2022-12, Vol.11 (1), p.31

2022

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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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EphrinB2 Regulation by PTH and PTHrP Revealed by Molecular Profiling in Differentiating Osteoblasts

Journal of bone and mineral research, 2008-08, Vol.23 (8), p.1170-1181

2008

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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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IL-23 Inhibits Osteoclastogenesis Indirectly through Lymphocytes and Is Required for the Maintenance of Bone Mass in Mice

The Journal of immunology (1950), 2008-10, Vol.181 (8), p.5720-5729

2008

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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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Ciliary Neurotrophic Factor Inhibits Bone Formation and Plays a Sex-Specific Role in Bone Growth and Remodeling

Calcified tissue international, 2010-03, Vol.86 (3), p.261-270

2010

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Short-Term Prediction of COVID-19 Cases Using Machine Learning Models

Applied sciences, 2021-05, Vol.11 (9), p.4266

2021

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Machine Learning and Bioinformatics Models to Identify Pathways that Mediate Influences of Welding Fumes on Cancer Progression

Scientific reports, 2020-02, Vol.10 (1), p.2795, Article 2795

2020

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Transcriptomic studies revealed pathophysiological impact of COVID-19 to predominant health conditions

Briefings in bioinformatics, 2021-11, Vol.22 (6)

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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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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The Chemokine Cxcl1 Is a Novel Target Gene of Parathyroid Hormone (PTH)/PTH-Related Protein in Committed Osteoblasts

Endocrinology (Philadelphia), 2009-05, Vol.150 (5), p.2244-2253

2009

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Machine Learning-Based Models for Early Stage Detection of Autism Spectrum Disorders

IEEE access, 2019, Vol.7, p.166509-166527

2019

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Interleukin‐11 Receptor Signaling Is Required for Normal Bone Remodeling

Journal of bone and mineral research, 2005-07, Vol.20 (7), p.1093-1102

2005

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

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

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

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

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

HSP90 inhibitors enhance differentiation and MITF (microphthalmia transcription factor) activity in osteoclast progenitors

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

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

Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity

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

EphrinB2 Regulation by PTH and PTHrP Revealed by Molecular Profiling in Differentiating Osteoblasts

Recognition of human emotions using EEG signals: A review

IL-23 Inhibits Osteoclastogenesis Indirectly through Lymphocytes and Is Required for the Maintenance of Bone Mass in Mice

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

Ciliary Neurotrophic Factor Inhibits Bone Formation and Plays a Sex-Specific Role in Bone Growth and Remodeling

Short-Term Prediction of COVID-19 Cases Using Machine Learning Models

Machine Learning and Bioinformatics Models to Identify Pathways that Mediate Influences of Welding Fumes on Cancer Progression

Transcriptomic studies revealed pathophysiological impact of COVID-19 to predominant health conditions

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

Genetic effects of welding fumes on the progression of neurodegenerative diseases

The Chemokine Cxcl1 Is a Novel Target Gene of Parathyroid Hormone (PTH)/PTH-Related Protein in Committed Osteoblasts

Machine Learning-Based Models for Early Stage Detection of Autism Spectrum Disorders

Interleukin‐11 Receptor Signaling Is Required for Normal Bone Remodeling

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