Results 21 to 30 of about 57,794 (383)

Identification and validation of immune and oxidative stress-related diagnostic markers for diabetic nephropathy by WGCNA and machine learning

open access: yesFrontiers in Immunology, 2023
Background Diabetic nephropathy (DN) is the primary cause of end-stage renal disease, but existing therapeutics are limited. Therefore, novel molecular pathways that contribute to DN therapy and diagnostics are urgently needed.
Mingming Xu   +6 more
semanticscholar   +1 more source

WGCNA: an R package for weighted correlation network analysis [PDF]

open access: yesBMC Bioinformatics, 2008
(Uploaded by Plazi for the Bat Literature Project) Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method for describing the correlation patterns among genes across microarray samples. Weighted correlation network analysis (WGCNA) can be used
Horvath Steve, Langfelder Peter
openaire   +3 more sources

Identification and Analysis of Potential Autophagy-Related Biomarkers in Endometriosis by WGCNA [PDF]

open access: yesFrontiers in Molecular Biosciences, 2021
Background: Endometriosis is a serious gynecological disorder characterized by debilitating pain, infertility and the establishment of innervated endometriosis lesions outside the uterus. Early detection and accurate diagnosis are pivotal in endometriosis.
Jing Wang   +7 more
openaire   +3 more sources

Identification of early diagnostic biomarkers via WGCNA in gastric cancer

open access: yesBiomedicine & Pharmacotherapy, 2022
Gastric cancer (GC) is the world's second-leading cause of cancer-related mortality, continuing to make it a serious healthcare concern. Even though the prevalence of GC reduces, the prognosis for GC patients remains poor in terms of a lack of reliable biomarkers to diagnose early GC and predict chemosensitivity and recurrence.We integrated the gene ...
Rezaei Z.   +9 more
openaire   +3 more sources

WGCNA and molecular docking identify hub genes for cardiac aging

open access: yesFrontiers in Cardiovascular Medicine, 2023
BackgroundCardiac aging and ageing-related cardiovascular diseases remain increase medical and social burden. Discovering the molecular mechanisms associated with cardiac aging is expected to provide new perspectives for delaying aging and related disease treatment.MethodsThe samples in GEO database were divided into older group and younger group based
Ping Ping   +8 more
openaire   +3 more sources

Intracellular metabolites in marine microorganisms during an experiment evaluating microbial mortality [PDF]

open access: yes, 2020
© The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Longnecker, K., & Kujawinski, E. B.
Kujawinski, Elizabeth B.   +1 more
core   +1 more source

Identification of Survival-Associated Hub Genes in Pancreatic Adenocarcinoma Based on WGCNA [PDF]

open access: yesFrontiers in Genetics, 2022
Pancreatic adenocarcinoma is one of the leading causes of cancer-related death worldwide. Since little clinical symptoms were shown in the early period of pancreatic adenocarcinoma, most patients were found to carry metastases when diagnosis. The lack of effective diagnosis biomarkers and therapeutic targets makes pancreatic adenocarcinoma difficult to
Liya Huang   +6 more
openaire   +3 more sources

RETRACTED: Identification of Early Diagnostic and Prognostic Biomarkers via WGCNA in Stomach Adenocarcinoma [PDF]

open access: yesFrontiers in Oncology, 2021
Stomach adenocarcinoma (STAD) is a leading cause of cancer deaths, and the outcome of the patients remains dismal for the lack of effective biomarkers of early detection. Recent studies have elucidated the landscape of genomic alterations of gastric cancer and reveal some biomarkers of advanced-stage gastric cancer, however, information about early ...
Ruoyue Tan   +18 more
openaire   +3 more sources

Maximal information component analysis: a novel non-linear network analysis method. [PDF]

open access: yes, 2013
BackgroundNetwork construction and analysis algorithms provide scientists with the ability to sift through high-throughput biological outputs, such as transcription microarrays, for small groups of genes (modules) that are relevant for further research ...
Bennett, Brian   +5 more
core   +3 more sources

Bioinformatic analysis of underlying mechanisms of Kawasaki disease via Weighted Gene Correlation Network Analysis (WGCNA) and the Least Absolute Shrinkage and Selection Operator method (LASSO) regression model

open access: yesBMC Pediatrics, 2023
Background Kawasaki disease (KD) is a febrile systemic vasculitis involvingchildren younger than five years old. However, the specific biomarkers and precise mechanisms of this disease are not fully understood, which can delay the best treatment time ...
Yaxue Xie, Hongshuo Shi, Bo Han
semanticscholar   +1 more source

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