AIMC Topic: Microarray Analysis

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MIDGET:Detecting differential gene expression on microarray data.

Computer methods and programs in biomedicine Sep 16, 2021
Backgound and Objective: Detecting differentially expressed genes is an important step in genome wide analysis and expression profiling. There are a wide array of algorithms used in today's research based on statistical approaches. Even though the cu...
Machine Learning Algorithms Gene Expression Microarray Analysis Neural Networks, Computer
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Accurate prediction of breast cancer survival through coherent voting networks with gene expression profiling.

Scientific reports Jul 19, 2021
For a patient affected by breast cancer, after tumor removal, it is necessary to decide which adjuvant therapy is able to prevent tumor relapse and formation of metastases. A prediction of the outcome of adjuvant therapy tailored for the patient is h...
Predictive Value of Tests Mastectomy Neoplasm Recurrence, Local Survival Analysis Transcriptome Gene Regulatory Networks Gene Expression Regulation, Neoplastic Microarray Analysis Humans Chemotherapy, Adjuvant Biomarkers, Tumor Neural Networks, Computer Female Artificial Intelligence Gene Expression Profiling Breast Neoplasms Machine Learning Prognosis
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Gene selection using hybrid dragonfly black hole algorithm: A case study on RNA-seq COVID-19 data.

Analytical biochemistry May 8, 2021
This paper introduces a new hybrid approach (DBH) for solving gene selection problem that incorporates the strengths of two existing metaheuristics: binary dragonfly algorithm (BDF) and binary black hole algorithm (BBHA). This hybridization aims to i...
COVID-19 Algorithms Neoplasms Gene Expression Profiling Humans Angiotensin-Converting Enzyme 2 Sequence Analysis, RNA Support Vector Machine Microarray Analysis
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Machine learning-based cytokine microarray digital immunoassay analysis.

Biosensors & bioelectronics Feb 20, 2021
Serial measurement of a large panel of protein biomarkers near the bedside could provide a promising pathway to transform the critical care of acutely ill patients. However, attaining the combination of high sensitivity and multiplexity with a short ...
Image Processing, Computer-Assisted Immunoassay Microarray Analysis Cytokine Release Syndrome Microfluidic Analytical Techniques Immunotherapy, Adoptive COVID-19 Cytokines SARS-CoV-2 Humans Neural Networks, Computer Machine Learning
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Integrated analysis of multiple microarray studies to identify novel gene signatures in preeclampsia.

Placenta Feb 2, 2021
INTRODUCTION: Preeclampsia (PE) is one of the major causes of maternal and fetal morbidity and mortality in pregnancy worldwide. However, the intrinsic molecular mechanisms underlying the pathogenesis of PE have not yet been fully elucidated.
Gene Regulatory Networks Computational Biology Pre-Eclampsia Pregnancy Female Gene Expression Profiling Microarray Analysis Gene Ontology Humans
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Integrated meta-analysis and machine learning approach identifies acyl-CoA thioesterase with other novel genes responsible for biofilm development in Staphylococcus aureus.

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases Jan 1, 2021
Biofilm forming Staphylococcus aureus is a major threat to the health-care industry. It is important to understand the differences between planktonic and biofilm growth forms in the pathogen since conventional treatments targeting the planktonic form...
RNA-Seq Staphylococcus aureus Supervised Machine Learning Humans Microarray Analysis Transcriptome Algorithms Gene Expression Regulation, Bacterial Biofilms Staphylococcal Infections Datasets as Topic
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A machine learning-based clinical tool for diagnosing myopathy using multi-cohort microarray expression profiles.

Journal of translational medicine Nov 30, 2020
BACKGROUND: Myopathies are a heterogenous collection of disorders characterized by dysfunction of skeletal muscle. In practice, myopathies are frequently encountered by physicians and precise diagnosis remains a challenge in primary care. Molecular e...
Machine Learning Support Vector Machine Humans Genetic Markers Microarray Analysis Muscular Diseases
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A machine learning approach identified a diagnostic model for pancreatic cancer through using circulating microRNA signatures.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] Aug 9, 2020
Late diagnosis of pancreatic cancer (PC) due to the limited effectiveness of modern testing approaches, causes many patients to miss the chance of surgery and consequently leads to a high mortality rate. Pivotal improvements in circulating microRNA e...
Survival Analysis Microarray Analysis Kaplan-Meier Estimate Circulating MicroRNA Pancreatic Neoplasms Predictive Value of Tests Principal Component Analysis Gene Expression Regulation, Neoplastic Early Detection of Cancer MicroRNAs Algorithms Reproducibility of Results Sensitivity and Specificity Humans Computational Biology Neural Networks, Computer Machine Learning
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Analysis of high-dimensional genomic data using MapReduce based probabilistic neural network.

Computer methods and programs in biomedicine Jun 27, 2020
BACKGROUND: The size of genomics data has been growing rapidly over the last decade. However, the conventional data analysis techniques are incapable of processing this huge amount of data. For the efficient processing of high dimensional datasets, i...
Algorithms Genomics Microarray Analysis Neural Networks, Computer
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Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning.

Scientific reports Mar 13, 2020
Non-small cell lung cancer (NSCLC) is one of the most common lung cancers worldwide. Accurate prognostic stratification of NSCLC can become an important clinical reference when designing therapeutic strategies for cancer patients. With this clinical ...
Support Vector Machine Microarray Analysis Workflow Neoplasm Staging Deep Learning Humans Carcinoma, Non-Small-Cell Lung Neoplasm Grading Kaplan-Meier Estimate Lung Neoplasms Area Under Curve Neoplasm Metastasis Reproducibility of Results Computational Biology Biomarkers, Tumor
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