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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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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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Machine learning based DNA melt curve profiling enables automated novel genotype detection
Surveillance for genetic variation of microbial pathogens, both within and among species, plays an important role in informing research, diagnostic,...
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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... -
Neuroendocrine Biomarkers
Schizophrenia spectrum disorders (SSD) pose complex challenges in mental health, with ongoing research exploring factors that influence their course.... -
Biomarkers
One of psychiatry’s significant challenges lies in differentiating certain mental illnesses, given the overlap** characteristics exhibited by many... -
Neurotrophic Biomarkers
Neurotrophins are proteins that exert profound effects on cell survival and activity within the central nervous system, playing crucial roles in the... -
Biomarkers Related to the Hypotheses of the Pathophysiology of Schizophrenia Spectrum Disorders
Schizophrenia spectrum disorders (SSD) represent a multidimensional and severe mental illness, characterized by abnormalities spanning molecular... -
Neurotransmitter Biomarkers
Schizophrenia spectrum disorders (SSD) are characterized as a multidimensional and severe mental illness, involving abnormalities at various levels,... -
MicroRNA -21 expression as an auxiliary diagnostic biomarker of acute brucellosis
BackgroundThis study aimed to measure the expression levels of peripheral blood miRNAs in brucellosis and their involvement in the different phases...
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Overexpression of Discoidin Domain Receptor 1 Is Associated with Tumor Size in Esophageal Squamous Cell Carcinoma
AbstractBackground . Discoidin domain receptor 1 (DDR1) is confirmed as a member of the transmembrane receptor tyrosine kinase (RTK) superfamily,...
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Implicating clinical utility of altered expression of PTCH1 & SMO in oral squamous cell carcinoma
IntroductionOral cancer poses a significant burden on public health in India, with higher incidence and mortality rates. Despite advancements in...
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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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Identification of risk factors and development of a predictive model for chronic kidney disease in patients with obesity: a four-year cohort study
ObjectiveThe sneaky onset and dismal prognosis of chronic kidney disease (CKD) make it an important public health issue. Obesity-related kidney...
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Conclusions
The pursuit of effective diagnostic biomarkers for schizophrenia spectrum disorders (SSD) poses a formidable challenge, given the intricate and... -
Investigating a novel surrogate indicator of adipose accumulation in relation to erectile dysfunction
IntroductionAlthough previous studies have linked obesity and erectile dysfunction, the novel surrogate indicators of adipose accumulation are more...
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Identification of cuproptosis-related lncRNAs to predict prognosis and immune infiltration characteristics in alimentary tract malignancies
BackgroundAlimentary tract malignancies (ATM) caused nearly one-third of all tumor-related death. Cuproptosis is a newly identified cell death...
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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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Resistin as a potential diagnostic biomarker for sepsis: insights from DIA and ELISA analyses
PurposeThe primary objective of this investigation is to systematically screen and identify differentially expressed proteins (DEPs) within the...