Unlocking the potential of microRNAs: machine learning identifies key biomarkers for myocardial infarction diagnosis

[1]  W. Boisvert,et al.  Macrophages in cardiac remodelling after myocardial infarction , 2023, Nature Reviews Cardiology.

[2]  U. Hofmann,et al.  Identification of a novel cardiac epitope triggering T-cell responses in patients with myocardial infarction. , 2022, Journal of molecular and cellular cardiology.

[3]  S. Engelhardt,et al.  MicroRNAs as therapeutic targets in cardiovascular disease , 2022, The Journal of clinical investigation.

[4]  N. Mahapatra,et al.  Key regulatory miRNAs in lipid homeostasis: implications for cardiometabolic diseases and development of novel therapeutics. , 2022, Drug discovery today.

[5]  A. Yadav,et al.  Interleukin-35 Mitigates ox-LDL-Induced Proatherogenic Effects via Modulating miRNAs Associated with Coronary Artery Disease (CAD) , 2022, Cardiovascular Drugs and Therapy.

[6]  Rizwan Kalani,et al.  Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association , 2022, Circulation.

[7]  E. Rezus,et al.  Current Knowledge of MicroRNAs (miRNAs) in Acute Coronary Syndrome (ACS): ST-Elevation Myocardial Infarction (STEMI) , 2021, Life.

[8]  Xuyu Zu,et al.  Magic and mystery of microRNA‐32 , 2021, Journal of cellular and molecular medicine.

[9]  K. Babalyan,et al.  Circulating Extracellular miRNA Analysis in Patients with Stable CAD and Acute Coronary Syndromes , 2021, Biomolecules.

[10]  Tong Li,et al.  Comparison of the Clinical Value of miRNAs and Conventional Biomarkers in AMI: A Systematic Review , 2021, Frontiers in Genetics.

[11]  E. Trucco,et al.  Using machine learning approaches for multi-omics data analysis: A review. , 2021, Biotechnology advances.

[12]  Maximilian T. Strauss,et al.  Transparent Exploration of Machine Learning for Biomarker Discovery from Proteomics and Omics Data , 2021, bioRxiv.

[13]  C. Farquharson,et al.  The role of miR‐29 family in disease , 2021, Journal of cellular biochemistry.

[14]  M. Maleki,et al.  MicroRNAs: Roles in cardiovascular development and disease. , 2020, Cardiovascular pathology : the official journal of the Society for Cardiovascular Pathology.

[15]  M. Kumar,et al.  scikit-optimize/scikit-optimize , 2020 .

[16]  N. Moradi,et al.  Evaluation of IP10 and miRNA 269-a Expression Levels in Peripheral Blood Mononuclear Cell of Coronary Artery Disease Patients and Controls. , 2020, DNA and cell biology.

[17]  Jaime Fern'andez del R'io,et al.  Array programming with NumPy , 2020, Nature.

[18]  Sharifeh Khosravi,et al.  PBMCs: a new source of diagnostic and prognostic biomarkers , 2020, Archives of physiology and biochemistry.

[19]  M. Mayr,et al.  Noncoding RNAs versus Protein Biomarkers in Cardiovascular Disease. , 2020, Trends in molecular medicine.

[20]  D. Tang,et al.  Long non-coding RNA SNHG5 regulates chemotherapy resistance through the miR-32/DNAJB9 axis in acute myeloid leukemia. , 2019, Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie.

[21]  D. Stewart,et al.  Systematic Review of MicroRNA Biomarkers in Acute Coronary Syndrome and Stable Coronary Artery Disease. , 2019, Cardiovascular research.

[22]  Xiaojuan Ma,et al.  PBMCs-Derived microRNA Signature as a Prethrombotic Status Discriminator in Stable Coronary Artery Disease , 2019, Thrombosis and Haemostasis.

[23]  R. Irizarry.  ggplot2 , 2019, Introduction to Data Science.

[24]  A. Bayés‐Genís,et al.  Epigenetic Biomarkers in Cardiovascular Diseases , 2019, Front. Genet..

[25]  Yaiza Beatriz Molero-Díez,et al.  Fourth universal definition of myocardial infarction , 2019, Colombian Journal of Anesthesiology.

[26]  M. Mayr,et al.  Comparative Analysis of Circulating Noncoding RNAs Versus Protein Biomarkers in the Detection of Myocardial Injury , 2019, Circulation research.

[27]  Xi-Long Zheng,et al.  MicroRNA-296: a promising target in the pathogenesis of atherosclerosis? , 2018, Molecular Medicine.

[28]  T. Zeller,et al.  microRNAs in cardiovascular disease – clinical application , 2017, Clinical chemistry and laboratory medicine.

[29]  Hadley Wickham,et al.  ggplot2 - Elegant Graphics for Data Analysis (2nd Edition) , 2017 .

[30]  Xinhua Xiao,et al.  MicroRNA-32 promotes calcification in vascular smooth muscle cells: Implications as a novel marker for coronary artery calcification , 2017, PloS one.

[31]  A. Cai,et al.  The Relationship of Plasma miR-29a and Oxidized Low Density Lipoprotein with Atherosclerosis , 2016, Cellular Physiology and Biochemistry.

[32]  Xi-Long Zheng,et al.  MicroRNA-186 promotes macrophage lipid accumulation and secretion of pro-inflammatory cytokines by targeting cystathionine γ-lyase in THP-1 macrophages. , 2016, Atherosclerosis.

[33]  Melissa J. Morine,et al.  Body mass index mediates inflammatory response to acute dietary challenges. , 2015, Molecular nutrition & food research.

[34]  Shao-Lin He,et al.  MicroRNA-21 Negatively Regulates Treg Cells Through a TGF-β1/Smad-Independent Pathway in Patients with Coronary Heart Disease , 2015, Cellular Physiology and Biochemistry.

[35]  G. Opolski,et al.  Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure , 2015, Genome Medicine.

[36]  Jeroen J. Bax,et al.  The universal definition of myocardial infarction , 2015, Oxford Medicine Online.

[37]  G. Leoni,et al.  Vitamin C supplementation modulates gene expression in peripheral blood mononuclear cells specifically upon an inflammatory stimulus: a pilot study in healthy subjects , 2014, Genes & Nutrition.

[38]  Hugues Bersini,et al.  Batch effect removal methods for microarray gene expression data integration: a survey , 2013, Briefings Bioinform..

[39]  Guangchuang Yu,et al.  clusterProfiler: an R package for comparing biological themes among gene clusters. , 2012, Omics : a journal of integrative biology.

[40]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[41]  Matthew N. McCall,et al.  The Gene Expression Barcode: leveraging public data repositories to begin cataloging the human and murine transcriptomes , 2010, Nucleic Acids Res..

[42]  Rafael A Irizarry,et al.  Frozen robust multiarray analysis (fRMA). , 2010, Biostatistics.

[43]  Yue Li,et al.  Circulating microRNA: a novel potential biomarker for early diagnosis of acute myocardial infarction in humans. , 2010, European heart journal.

[44]  Wes McKinney,et al.  Data Structures for Statistical Computing in Python , 2010, SciPy.