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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]
PLoS 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 +2 more
exaly +2 more sources
Frontiers 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.
Liu Shengwei
exaly +3 more sources
Identification of the Hub Genes in Alzheimer’s Disease [PDF]
Computational and Mathematical Methods in Medicine, 2021 Purpose. Alzheimer’s disease (AD) is considered to be the most common neurodegenerative disease and also one of the major fatal diseases affecting the elderly, thus bringing a huge burden to society. Therefore, identifying AD-related hub genes is extremely important for developing novel strategies against AD. Materials and Methods.
Huiwen Gui +4 more
openaire +2 more sources
Applied 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