Results 21 to 30 of about 148,880 (283)
Rice Science, 2022 Zinc (Zn) malnutrition is a major public health issue. Genetic biofortification of Zn in rice grain can alleviate global Zn malnutrition. Therefore, elucidating the genetic mechanisms regulating Zn deprivation response in rice is essential to identify ...
Blaise Pascal Muvunyi +4 more
doaj +1 more source
Hub genes of stroke identified by weighted gene co-expression network analysis [PDF]
, 2019 Abstract Background Microarray-based gene expression profiling has been widely used in biomedical research. Weighted gene co-expression network analysis (WGCNA) can link microarray data directly to clinical traits and to identify rules for predicting pathological stage and prognosis of disease, it has been found useful in many biological ...
Junhong Li +6 more
openaire +2 more sources
Identification of PDK4 as Hub Gene for Diabetic Nephropathy Using Co-Expression Network Analysis
Kidney & Blood Pressure Research, 2023 Introduction: Diabetic nephropathy (DN) is related to type 1 and type 2 diabetes. They are the leading cause of end-stage renal disease, but the underling specific pathogenesis of DN is not yet clear. Our study was conducted to explore how DN changed the
Yuanyuan Han +4 more
doaj +1 more source
Maximal information component analysis: a novel non-linear network analysis method. [PDF]
, 2013 BackgroundNetwork construction and analysis algorithms provide scientists with the ability to sift through high-throughput biological outputs, such as transcription microarrays, for small groups of genes (modules) that are relevant for further research ...
Bennett, Brian +5 more
core +3 more sources
Identifying pancreatic cancer‑associated miRNAs using weighted gene co‑expression network analysis
Oncology Letters, 2022 Pancreatic cancer is a common type of gastrointestinal tumour throughout the world and is characterised by high malignancy rates and poor prognosis. Studies indicated that early and effective diagnosis is key to prolonging patients' overall survival, particularly in the case of fluid biopsy.
Pengfei, Lyu +3 more
openaire +2 more sources
Using gene expression and systems biology to interrogate auditory hallucinations in schizophrenic patients [PDF]
, 2015 Schizophrenia is a severe mental disorder affecting around 1% of the opulation. This disease presents a complex aetiology that has not been completely unveiled yet.
Gilabert Juan, Javier +6 more
core +2 more sources
Frontiers in Psychiatry, 2021 Background: Major depressive disorder (MDD) is a common and severe psychiatric disorder with a heavy burden on the individual and society. However, the prevalence varies significantly owing to the lack of auxiliary diagnostic biomarkers.
Qing Long +11 more
doaj +1 more source
Co-expression networks in generation of induced pluripotent stem cells. [PDF]
, 2016 We developed an adenoviral vector, in which Yamanaka's four reprogramming factors (RFs) were controlled by individual CMV promoters in a single cassette (Ad-SOcMK). This permitted coordinated expression of RFs (SOX2, OCT3/4, c-MYC and KLF4) in a cell for
Coppola, Giovanni +6 more
core +2 more sources
Dopamine perturbation of gene co-expression networks reveals differential response in schizophrenia for translational machinery. [PDF]
, 2018 The dopaminergic hypothesis of schizophrenia (SZ) postulates that positive symptoms of SZ, in particular psychosis, are due to disturbed neurotransmission via the dopamine (DA) receptor D2 (DRD2).
Blondell, Lucy +8 more
core +4 more sources
Weighted Gene Co-expression Network Analysis of Glioblastoma Gene Expression Microarray Data
Journal of Advanced Zoology, 2023 Glioblastoma is a highly aggressive and lethal form of brain cancer characterized by its complex molecular landscape. Understanding the underlying gene expression patterns and their relationships is essential for unraveling the mechanisms driving this disease.
Sujatha Pandurangan +2 more
openaire +1 more source