Results 61 to 70 of about 33,188 (253)

Samples and traits for WGCNA

, 2015
Table of traits for samples for network analysis with the R package WGCNA. Rows are samples. Columns are traits. Values are binary indicators of whether the sample is positive for that trait. Traits are AL, H, and D for the three disease states (ahead of
Mikhail V. Matz (51701), Wright, Rachel M., Aglyamova, Galina V., Matz, Mikhail V., Galina V. Aglyamova (3245331), Eli Meyer (248745), Rachel M. Wright (447448), Meyer, Eli   +7 more
core   +1 more source

Predicting cervical cancer DNA methylation from genetic data using multivariate CMMP

Canadian Journal of Statistics, EarlyView.
Abstract Epigenetic modifications link the environment to gene expression and play a crucial role in tumour development. DNA methylation, in particular, is gaining attention in cancer research, including cervical cancer, the focus of this study.
Hang Zhang, Steven Chen, Raymond Balise, Jiming Jiang, Nagi Ayad, J. Sunil Rao   +5 more
wiley   +1 more source

Identification of crucial genes through WGCNA in the progression of gastric cancer

Journal of Cancer
Background: To explore the hub gene closely related to the progression of gastric cancer (GC), so as to provide a theoretical basis for revealing the therapeutic mechanism of GC. Methods: The gene expression profile and clinical data of GSE15459 in Gene Expression Omnibus (GEO) database were downloaded. The weighted gene co-expression network analysis (
Liu, Rui, Liu, Jie, Cao, Qiang, Chu, Yanpeng, Chi, Hao, Zhang, Jun, Fu, Jiangping, Zhang, Tianchi, Fan, Linguang, Liang, Chaozhong, Luo, Xiufang, Yang, Xiaoli, Li, Bo   +12 more
openaire   +2 more sources

Decoding epilepsy's molecular blueprint: Machine learning unravels transcriptomic subtypes and regulatory networks

Epilepsia, EarlyView.
Abstract Objective Drug‐resistant epilepsy (DRE) affects approximately one‐third of patients with epilepsy. The molecular heterogeneity underlying DRE remains poorly defined, largely due to limited access to resected brain tissue and substantial genetic diversity.
Yanping Weng, Yu Ma, Wanwan Hou, Haibo Li, Yuanfeng Zhou, Rui Zhao, Hao Li, Lian Chen, Yangyang Ma, Li Jin, Yi Wang, Yu An   +11 more
wiley   +1 more source

Comparison of WGCNA expression by tissue and module.

, 2019
Comparison of WGCNA expression by tissue and module.
Pouya Dini (6109472), Hossam El-Sheikh Ali (7866251), Theodore Kalbfleisch (59077), Barry A. Ball (3912946), Shavahn C. Loux (3912937)   +4 more
core   +1 more source

A translational multimodal machine‐learning prototype predicting valproate response in epilepsy treatment

Epilepsia, EarlyView.
Abstract Objective Epilepsy affects ~1% of the global population and often requires lifelong antiseizure medication (ASM) therapy. Valproic acid (VPA) is a commonly prescribed first‐line ASM, yet only approximately half of patients achieve sustained seizure freedom. Treatment selection remains largely empirical.
Simeon Platte, Afsheen Kumar, Giorgia Guerini, Massimo Pandolfo, Denise Haslinger, Colin B. Josephson, Guillermo Delgado‐García, Navprabhjot Kaur, Michaela‐Pauline Lux, Heiko Stempfle, Chantal Depondt, Reetta Kälviäinen, Felix Rosenow, Sophie von Brauchitsch, Karl Martin Klein, Andreas G. Chiocchetti   +15 more
wiley   +1 more source

WGCNA modules, number of transcripts with significant correlations, hub transcription factors and hub genes.

, 2023
WGCNA modules, number of transcripts with significant correlations, hub transcription factors and hub genes.
Pengmin Wang (17008362), Claude Robert (255405), Éric R. Paquet (17008365)   +2 more
core   +1 more source

Vaginal host–microbe signatures linked to placental outcomes in mares

Equine Veterinary Journal, EarlyView.
Abstract Background Ascending placentitis is a leading cause of late‐term pregnancy loss in mares. Although pathogens are presumed to ascend from the caudal reproductive tract, the association between the vaginal microbiome and placentitis has not been systematically examined.
Machteld van Heule, Babiche Heil, Jamie K. Norris, Kristene Gedye, Xiaoxiao Lin, Ward De Spiegelaere, Peter Daels, Pouya Dini   +7 more
wiley   +1 more source

Variance stabilized gene expression data for WGCNA

, 2015
Variance stabilized gene expression data for all samples from the top differentially expressed genes (unadjusted p-value < 0.1) for network analysis with the R package WGCNA. Rows are genes.
Mikhail V. Matz (51701), Galina V. Aglyamova (3245331), Eli Meyer (248745), Rachel M. Wright (447448)   +3 more
core   +1 more source

Silencing SGO2 by Oxamic Acid Dissociates Glycolysis and BRCA1‐Mediated DNA Repair to Improve the Chemosensitivity of Lung Adenocarcinoma

Exploration, EarlyView.
SGO2 interacts with BRCA1 to inhibit BRCA1 ubiquitination and degradation, thereby promoting BRCA1‐induced DNA damage repair signaling and reducing the chemo sensitivity of LUADa. OA targets glycolysis to disrupt H3K18la‐ and H3K27ac‐mediated chromatin accessibility, repressing SGO2 transcription and subsequently alleviating SGO2‐mediated cancer ...
Xian Lin, Zhidan Hua, Chen Liu, Minxia Yang, Beilei Zhang, Xiaofeng Zhu, Xiao Chen   +6 more
wiley   +1 more source