Results 11 to 20 of about 45,444 (316)

WGCNA Identifies Translational and Proteasome-Ubiquitin Dysfunction in Rett Syndrome [PDF]

open access: goldInternational Journal of Molecular Sciences, 2021
Rett Syndrome (RTT) is an X linked neurodevelopmental disorder caused by mutations in the methyl-CpG-binding protein 2 (MECP2) gene, resulting in severe cognitive and physical disabilities. Despite an apparent normal prenatal and postnatal development period, symptoms usually present around 6 to 18 months of age.
Florencia Haase   +3 more
openalex   +4 more sources

Identification of key genes in sepsis by WGCNA

open access: hybridPreventive Medicine, 2023
When the body damages its own tissues in response to an infection, sepsis develops. Medical treatments are limited. It's important to understand the molecular mechanism behind sepsis pathogenesis and identify potential molecular treatment targets. We made two modules based on how genes work together by using WGCNA analysis.
Xuemeng Gao   +4 more
openalex   +3 more sources

Identification of key genes in hepatitis B associated hepatocellular carcinoma based on WGCNA [PDF]

open access: goldInfectious Agents and Cancer, 2021
Abstract Hepatitis B virus (HBV) chronic infection is one risk factor of hepatocellular carcinoma (HCC). Lots of efforts have been made to illuminate the process of HBV-associated HCC, but its molecular mechanisms of carcinogenesis remain vague.
Chang Liu   +4 more
openalex   +5 more sources

Identification of four hub genes associated with adrenocortical carcinoma progression by WGCNA

open access: goldPeerJ, 2019
Background Adrenocortical carcinoma (ACC) is a rare and aggressive malignant cancer in the adrenal cortex with poor prognosis. Though previous research has attempted to elucidate the progression of ACC, its molecular mechanism remains poorly understood ...
Wangxiao Xia   +8 more
openalex   +4 more sources

WGCNA revisited: Module indetification

open access: yesJournal of Physics: Conference Series, 2021
Abstract WGCNA is a very popular R language software package used in biomedical field. It is mainly designed to deal with gene microarray samples to find clusters (modules), which include highly correlated genes, in biomedical studies. Theoretically, it results in the hierarchical modules, which are different from the results based on ...
Shaomin Yan, Guang Wu
openaire   +1 more source

Prognostic analysis and validation of diagnostic marker genes in patients with osteoporosis

open access: yesFrontiers in Immunology, 2022
BackgroundsAs a systemic skeletal dysfunction, osteoporosis (OP) is characterized by low bone mass and bone microarchitectural damage. The global incidences of OP are high.MethodsData were retrieved from databases like Gene Expression Omnibus (GEO ...
Xing Wang   +9 more
doaj   +1 more source

Transcriptome profile analysis reveals the emamectin benzoate-induced genes associated with olfaction and metabolic detoxification in Spodoptera exigua Hübner (Lepidoptera: noctuidae)

open access: yesAll Life, 2022
Emamectin benzoate (EMB) is one of the high-efficacious pesticide commonly used to control the ferocious economic crop pest S. exigua in the field. The results of S.
Yang Sun   +9 more
doaj   +1 more source

Transcriptome Analysis of CD4+ T Cells in Coeliac Disease Reveals Imprint of BACH2 and IFNγ Regulation [PDF]

open access: yes, 2015
peer-reviewedData Availability: The raw sequencing reads (FASTQ files) and sequence read counts mapped to UCSC hg19 for each of the 74 transcriptomes sequenced in this study have been deposited at Gene Expression Omnibus (GEO) accession GSE69549.This ...
Castro, Patricia Dominguez   +7 more
core   +15 more sources

Prognostic score model-based signature genes for predicting the prognosis of metastatic skin cutaneous melanoma

open access: yesMathematical Biosciences and Engineering, 2021
Purpose: Cutaneous melanoma (SKCM) is the most invasive malignancy of skin cancer. Metastasis to distant lymph nodes or other system is an indicator of poor prognosis in melanoma patients.
Jiaping Wang
doaj   +1 more source

Construction of Prediction Model for Atrial Fibrillation with Valvular Heart Disease Based on Machine Learning

open access: yesReviews in Cardiovascular Medicine, 2022
Background: Valvular heart disease (VHD) is a major precipitating factor of atrial fibrillation (AF) that contributes to decreased cardiac function, heart failure, and stroke.
Qiaoqiao Li   +10 more
doaj   +1 more source

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