Results 1 to 10 of about 245,963 (292)

Statistical Approaches for Gene Selection, Hub Gene Identification and Module Interaction in Gene Co-Expression Network Analysis: An Application to Aluminum Stress in Soybean (Glycine max L.). [PDF]

open access: yesPLoS ONE, 2017
Selection of informative genes is an important problem in gene expression studies. The small sample size and the large number of genes in gene expression data make the selection process complex.
Samarendra Das   +4 more
doaj   +3 more sources

Identification of Hub Genes and Construction of a Transcriptional Regulatory Network Associated With Tumor Recurrence in Colorectal Cancer by Weighted Gene Co-expression Network Analysis

open access: yesFrontiers in Genetics, 2021
Tumor recurrence is one of the most important risk factors that can negatively affect the survival rate of colorectal cancer (CRC) patients. However, the key regulators dictating this process and their exact mechanisms are understudied.
Shengwei Liu   +4 more
doaj   +3 more sources

Hub gene associated with prognosis in bladder cancer is a novel therapeutic target [PDF]

open access: yesPeerJ, 2023
Objective Bladder cancer is a clinical and social conundrum due to its high incidence and recurrence rate. It is urgent to find new targets for the diagnosis and treatment of bladder cancer and improve the prognosis and survival rate of bladder cancer ...
Dengpan Fang   +4 more
doaj   +3 more sources

Machine Learning Model for Lymph Node Metastasis Prediction in Breast Cancer Using Random Forest Algorithm and Mitochondrial Metabolism Hub Genes

open access: yesApplied Sciences, 2021
Breast cancer metastasis can have a fatal outcome, with the prediction of metastasis being critical for establishing effective treatment strategies.
Byung-Chul Kim   +5 more
doaj   +1 more source

RNAseq Analyses Identify Tumor Necrosis Factor-Mediated Inflammation as a Major Abnormality in ALS Spinal Cord [PDF]

open access: yes, 2016
ALS is a rapidly progressive, devastating neurodegenerative illness of adults that produces disabling weakness and spasticity arising from death of lower and upper motor neurons.
A Al-Chalabi   +99 more
core   +20 more sources

Identifying hub genes of calcific aortic valve disease and revealing the immune infiltration landscape based on multiple WGCNA and single-cell sequence analysis

open access: yesFrontiers in Immunology, 2022
BackgroundCalcific aortic valve disease (CAVD) is a progressive fibrocalcific disease that can be treated only through valve replacement. This study aimed to determine the role of hub genes and immune cell infiltration in CAVD progression.MethodsIn this ...
Kan Wang   +5 more
doaj   +1 more source

Identification of Molecular Signatures and Candidate Drugs in Vascular Dementia by Bioinformatics Analyses

open access: yesFrontiers in Molecular Neuroscience, 2022
Vascular dementia (VaD) is considered to be the second most common form of dementia after Alzheimer’s disease, and no specific drugs have been approved for VaD treatment.
Jun Shu, Wenshi Wei, Li Zhang
doaj   +1 more source

Identification of hub genes and construction of diagnostic nomogram model in schizophrenia

open access: yesFrontiers in Aging Neuroscience, 2022
Schizophrenia (SCZ), which is characterized by debilitating neuropsychiatric disorders with significant cognitive impairment, remains an etiological and therapeutic challenge.
Chi Zhang   +4 more
doaj   +1 more source

Identification of candidate biomarkers and pathways associated with type 1 diabetes mellitus using bioinformatics analysis

open access: yesScientific Reports, 2022
Type 1 diabetes mellitus (T1DM) is a metabolic disorder for which the underlying molecular mechanisms remain largely unclear. This investigation aimed to elucidate essential candidate genes and pathways in T1DM by integrated bioinformatics analysis.
Madhu Pujar   +4 more
doaj   +1 more source

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