Results 51 to 60 of about 148,880 (283)

Identifying key genes in milk fat metabolism by weighted gene co-expression network analysis

Scientific Reports, 2022
AbstractMilk fat is the most important and energy-rich substance in milk, and its content and composition are important reference elements in the evaluation of milk quality. However, the current identification of valuable candidate genes affecting milk fat is limited.
Tong Mu, Honghong Hu, Yanfen Ma, Huiyu Wen, Chaoyun Yang, Xiaofang Feng, Wan Wen, Juan Zhang, Yaling Gu   +8 more
openaire   +3 more sources

CD36 identified by weighted gene co-expression network analysis as a hub candidate gene in lupus nephritis [PDF]

PeerJ, 2019
Lupus nephritis (LN) is a severe manifestation of systemic lupus erythematosus (SLE), which often progresses to end-stage renal disease (ESRD) and ultimately leads to death.
Huiying Yang, Hua Li
doaj   +2 more sources

Transcriptomic signatures of neuronal differentiation and their association with risk genes for autism spectrum and related neuropsychiatric disorders. [PDF]

, 2016
Genes for autism spectrum disorders (ASDs) are also implicated in fragile X syndrome (FXS), intellectual disabilities (ID) or schizophrenia (SCZ), and converge on neuronal function and differentiation. The SH-SY5Y neuroblastoma cell line, the most widely
Chiocchetti, AG, Cocchi, E, de la Torre-Ubieta, L, Freitag, CM, Fulda, S, Geschwind, DH, Haslinger, D, Lindlar, S, Rothämel, T, Stein, JL, Waltes, R   +10 more
core   +1 more source

Identifying osteosarcoma metastasis associated genes by weighted gene co-expression network analysis (WGCNA)

Medicine, 2018
Osteosarcoma (OS), the most common malignant bone tumor, accounts for the heavy healthy threat in the period of children and adolescents. OS occurrence usually correlates with early metastasis and high death rate. This study aimed to better understand the mechanism of OS metastasis.Based on Gene Expression Omnibus (GEO) database, we downloaded 4 ...
Tian, Honglai, Guan, Donghui, Li, Jianmin   +2 more
openaire   +2 more sources

Transcriptome profiling of developing leaf and shoot apices to reveal the molecular mechanism and co-expression genes responsible for the wheat heading date

BMC Genomics, 2021
Background Wheat is one of the most widely planted crops worldwide. The heading date is important for wheat environmental adaptability, as it not only controls flowering time but also determines the yield component in terms of grain number per spike ...
Yuxin Yang, Xueying Zhang, Lifen Wu, Lichao Zhang, Guoxiang Liu, Chuan Xia, Xu Liu, Xiuying Kong   +7 more
doaj   +1 more source

Generalized gene co-expression analysis via subspace clustering using low-rank representation [PDF]

, 2019
BACKGROUND: Gene Co-expression Network Analysis (GCNA) helps identify gene modules with potential biological functions and has become a popular method in bioinformatics and biomedical research.
Huang, Kun, Wang, Tongxin, Zhang, Jie
core   +1 more source

Key Candidate Genes – VSIG2 of Colon Cancer Identified by Weighted Gene Co-Expression Network Analysis

Cancer Management and Research, 2021
Colon adenocarcinoma (COAD) is one of the most common malignancies. To identify candidate genes that may be involved in colon adenocarcinoma development and progression, weighted gene co-expression network analysis (WGCNA) was used to construct gene co-expression networks to explore associations between gene sets and clinical features and to identify ...
Zhongze Cui, Yangyang Li, Shuang He, Feifei Wen, Xiaoyang Xu, Lizhen Lu, Shuhua Wu   +6 more
openaire   +5 more sources

Discovery of core genes in colorectal cancer by weighted gene co‑expression network analysis

Oncology Letters, 2019
The aim of the present study was to investigate the interactions among messenger RNAs (mRNAs), microRNAs (miRNAs), and long noncoding RNAs (lncRNAs) in colorectal cancer (CRC), in order to examine its underlying mechanisms. The raw gene expression data was downloaded from the Gene Expression Omnibus (GEO) database. An online tool, GEO2R, which is based
Liao, Cun, Huang, Xue, Gong, Yizhen, Lin, Qiuning   +3 more
openaire   +3 more sources

WGCNA: an R package for weighted correlation network analysis

BMC Bioinformatics, 2008
Background 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 ...
Horvath Steve, Langfelder Peter
doaj   +1 more source

The Role of Vitamin D in the Transcriptional Program of Human Pregnancy. [PDF]

PLoS ONE, 2016
Patterns of gene expression of human pregnancy are poorly understood. In a trial of vitamin D supplementation in pregnant women, peripheral blood transcriptomes were measured longitudinally on 30 women and used to characterize gene co-expression networks.
Amal Al-Garawi, Vincent J Carey, Divya Chhabra, Hooman Mirzakhani, Jarrett Morrow, Jessica Lasky-Su, Weiliang Qiu, Nancy Laranjo, Augusto A Litonjua, Scott T Weiss   +9 more
doaj   +1 more source