Results 301 to 310 of about 47,201 (334)

Machine learning identifies molecular targets of Di (2-ethylhexyl) phthalate in pulmonary arterial hypertension. [PDF]

Front Bioinform
Li H, Jiang Y, Li J.
europepmc   +1 more source

IMMT downregulation promotes osteoarthritis development by inducing mitochondrial dysfunction. [PDF]

J Orthop Surg Res
Yang L, Wang B, Ma Q, Wang J, Cheng Y.
europepmc   +1 more source

Identification of the Hub genes and inhibitors associated with hypertension in children with obesity using WGCNA. [PDF]

Front Cardiovasc Med
Sun SM, Bai M, Liu Y, Fang QY, Ma HJ, Yu Z, Wu FY.   +6 more
europepmc   +1 more source

Transcriptomic analysis defines gestation-specific programs of fetal liver maturation in premature sheep

Ikeda H, Watanabe S, Sahara K, Mochii N, Saito Y, Takahashi T, Watson H, Johnson EL, Carter SWD, Kumagai Y, Seah M, Sesurajan BP, Kawamura S, Illanes SE, Saito M, Choolani M, Kemp MW, Usuda H.   +17 more
europepmc   +1 more source

Identification of early diagnostic biomarkers via WGCNA in gastric cancer

Biomedicine and 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 ...
Zohreh Rezaei, Hossein Safarpour, Samira Nomiri   +2 more
exaly   +4 more sources

Identification of Key Pathways and Genes in the Dynamic Progression of HCC Based on WGCNA [PDF]

Genes, 2018
Yin Li, Zhihui Cai, Baoan Zhu, Cunshuan Xu   +3 more
exaly   +2 more sources

Predicting the molecular mechanism of ginger targeting PRMT1/BTG2 axis to inhibit gastric cancer based on WGCNA and machine algorithms

Phytomedicine
Ling Yuan
exaly   +2 more sources

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Identifying novel candidate biomarkers of RCC based on WGCNA analysis

Personalized Medicine, 2018
Extracting differential expression genes (DEGs) is an effective approach to improve the accuracy of determining the candidate biomarker genes. However, the previous DEGs analysis methods ignore that the expression levels of genes in different pathology stages of cancers are complex and various.In our study, staging DEGs analysis and weighted gene co ...
Jin, Deng, Wei, Kong, Xiaoyang, Mou, Shuaiqun, Wang, Weiming, Zeng   +4 more
openaire   +2 more sources

WGCNA Application to Proteomic and Metabolomic Data Analysis

2017
Progresses in mass spectrometric instrumentation and bioinformatics identification algorithms made over the past decades allow quantitative measurements of relative or absolute protein/metabolite amounts in cells in a high-throughput manner, which has significantly expedited the exploration into functions and dynamics of complex biological systems ...
G, Pei, L, Chen, W, Zhang
openaire   +2 more sources