Results 1 to 10 of about 37,320 (316)

Weighted Gene Co-Expression Network Analysis (WGCNA) Discovered Novel Long Non-Coding RNAs for Polycystic Ovary Syndrome [PDF]

Biomedicines, 2023
Polycystic ovary syndrome (PCOS) affects reproductive-age women. This condition causes infertility, insulin resistance, obesity, and heart difficulties. The molecular basis and mechanism of PCOS might potentially generate effective treatments.
Roozbeh Heidarzadehpilehrood, Maryam Pirhoushiaran, Malina Osman, Habibah Abdul Hamid, King‐Hwa Ling   +4 more
openalex   +2 more sources

WGCNA Identifies a Comprehensive and Dynamic Gene Co-Expression Network That Associates with Smut Resistance in Sugarcane

International Journal of Molecular Sciences, 2022
Sugarcane smut is a major fungal disease caused by Sporisorium scitamineum, which seriously reduces the yield and quality of sugarcane. In this study, 36 transcriptome data were collected from two sugarcane genotypes, YT93-159 (resistant) and ROC22 ...
Yong-Bao Pan, Yachun Su, Youxiong Que
exaly   +2 more sources

Weighted gene co-expressed network analysis in barley and expression of hub genes involved at germination stage [PDF]

مجله بیوتکنولوژی کشاورزی, 2022
ObjectiveSeed germination is an important process that determines the beginning of the seed plant life cycle. However, the mechanism underlying seed germination in barley remains unclear.
Zohreh Hajibarat, Abbas Saidi, Mohammad Reza Ghaffari, Mehrshad Zeinolabedini, Zahra Hajibarat   +4 more
doaj   +1 more source

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

Frontiers 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, Hang Zhou, Ping Hu, Yang Pan, Shangren Wang, Li Liu, Xiaoqiang Liu   +6 more
semanticscholar   +1 more source

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

Frontiers 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, Zhiwei Pei, Ting Hao, Jirigala Ariben, Siqin Li, Wanxiong He, Xiangyu Kong, Jiale Chang, Zhenqun Zhao, Baoxin Zhang   +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)

All 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, Simin Tao, Wen Zhang, Bin Jiang, Han-Yang Dai, Bao-Sheng Liu, Yong-Jun Zhang, Xiang-dong Kong, Jing Zhao, Li-Xin Bai   +9 more
doaj   +1 more source

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

Mathematical 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

Identification of Key Biomarkers Associated with Immunogenic Cell Death and Their Regulatory Mechanisms in Severe Acute Pancreatitis Based on WGCNA and Machine Learning

International Journal of Molecular Sciences, 2023
Immunogenic cell death (ICD) is a form of programmed cell death with a strong sense of inflammatory detection, whose powerful situational awareness can cause the reactivation of aberrant immunity.
Zhengjian Wang, Jin Liu, Yuting Wang, Hui Guo, Fan Li, Yinan Cao, Liang Zhao, Hailong Chen   +7 more
semanticscholar   +1 more source

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

Reviews 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, Shenghong Lei, Xueshan Luo, Jintao He, Yuan Fang, Hui Yang, Yang Liu, Chun-Yu Deng, Shulin Wu, Yu-Mei Xue, Fang Rao   +10 more
doaj   +1 more source

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

BMC 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