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Seeking Molecular Biomarkers for Schizophrenia Using ROC Analysis
Schizophrenia Spectrum Disorders (SSD) manifest multidimensionally, presenting a syndromic nature with several symptomatic domains. These are driven...
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High-resolution phylogenetic and population genetic analysis of microbial communities with RoC-ITS
Microbial communities are inter-connected systems of incredible complexity and dynamism that play crucial roles in health, energy, and the...
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The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification
Binary classification is a common task for which machine learning and computational statistics are used, and the area under the receiver operating...
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Alpha-Synuclein, cyclooxygenase-2 and prostaglandins-EP2 receptors as neuroinflammatory biomarkers of autism spectrum disorders: Use of combined ROC curves to increase their diagnostic values
BackgroundAutism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impairments in social interaction and restricted and...
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Analysis of cGMP Signaling in Dictyostelium
Biochemical assays are described to analyze signal transduction by the second messenger cGMP in Dictyostelium. The methods include enzyme assays to...
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Targeted metabolomic analysis of serum amino acids in heart failure patients
Heart failure (HF) has been recognized as a global epidemic with high rates of morbidity, hospitalization, and mortality. The role of amino acids,...
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Identification of ferroptosis-related genes in acute phase of temporal lobe epilepsy based on bioinformatic analysis
BackgroundEpilepsy is a prevalent neurological disorder, and while its precise mechanism remains elusive, a connection to ferroptosis has been...
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Prognostic analysis and risk assessment based on RNA editing in hepatocellular carcinoma
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality, and prognosis assessment is crucial for guiding treatment decisions....
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Bioinformatic analysis and experimental validation of cuproptosis-related LncRNA as a novel biomarker for prognosis and immunotherapy of oral squamous cell carcinoma
BackgroundThe novel form of regulatory cell death, cuproptosis, is characterized by proteotoxicity, which ultimately leads to cell death. Its...
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TCGAplot: an R package for integrative pan-cancer analysis and visualization of TCGA multi-omics data
BackgroundPan-cancer analysis examines both the commonalities and heterogeneity among genomic and cellular alterations across numerous types of...
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Expression analysis of circulating miR-22, miR-122, miR-217 and miR-367 as promising biomarkers of acute lymphoblastic leukemia
BackgroundThe role of serum-based biomarkers such as microRNAs in cancer diagnosis has been extensively established. This study aimed to determine...
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Neurotrophin growth factors and their receptors as promising blood biomarkers for Alzheimer’s Disease: a gene expression analysis study
BackgroundAlzheimer’s disease (AD) is a multifaceted neurological ailment affecting more than 50 million individuals globally, distinguished by a...
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Identification and analysis of lipid metabolism-related genes in allergic rhinitis
BackgroundStudies have shown that the lipid metabolism mediator leukotriene and prostaglandins are associated with the pathogenesis of allergic...
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Analysis of RNA-Seq data using self-supervised learning for vital status prediction of colorectal cancer patients
BackgroundRNA sequencing (RNA-Seq) is a technique that utilises the capabilities of next-generation sequencing to study a cellular...
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Urine and serum metabolomic analysis of endometrial cancer diagnosis and classification based on ultra-performance liquid chromatography mass spectrometry
ObjectiveThis study aimed to reveal the urinary and serum metabolic pattern of endometrial cancer (EC) and establish diagnostic models to identify EC...
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A Step-by-Step Guide to Selecting an Optimal Cut-Off Value Based on the Receiver Operating Characteristic and Youden Index in Methods Designed to Diagnose Lyme Disease
Detection tools designed to diagnose complex diseases such as Lyme Borreliosis require an optimal cutoff point to distinguish the healthy from the...
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Relative importance of triglyceride glucose index combined with body mass index in predicting recovery from prediabetic state to normal fasting glucose: a cohort analysis based on a Chinese physical examination population
BackgroundPrediabetes is a high-risk state for diabetes, and numerous studies have shown that the body mass index (BMI) and triglyceride-glucose...
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Analysis of Prospective Genetic Indicators for Prenatal Exposure to Arsenic in Newborn Cord Blood of Using Machine Learning
Using a machine learning methods, we aim to find biological effect biomarkers of prenatal arsenic exposure in newborn cord blood. From the Gene...
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Comprehensive analysis of miRNA-mRNA regulatory pairs associated with colorectal cancer and the role in tumor immunity
BackgroundMicroRNA (miRNA) which can act as post-transcriptional regulators of mRNAs via base-pairing with complementary sequences within mRNAs is...
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Genomic and immunogenomic analysis of three prognostic signature genes in LUAD
BackgroundSearching for immunotherapy-related markers is an important research content to screen for target populations suitable for immunotherapy....
