The development of new molecular and cell technologies is having a significant impact on
the quantity of data generated nowadays. The growth of omics databases is creating a …

Background The successful identification of breast cancer (BRCA) prognostic biomarkers is
essential for the strategic interference of BRCA patients. Recently, various methods have …

Corporate financial distress is related to the interests of the enterprise and stakeholders.
Therefore, its accurate prediction is of great significance to avoid huge losses from them …

Background One of the most important objectives of the clinical cancer research is to
diagnose cancer more accurately based on the patients' gene expression profiles. Both Cox …

Osteosarcoma (OS) is the most common primary bone tumor, whose poor prognosis is
mainly due to lung metastasis. The aim of this study is to build a practical and valid …

Background and objective An important issue in genomic research is to identify the
significant genes that related to survival from tens of thousands of genes. Although Cox …

Iterative thresholding is a dominating strategy for sparse optimization problems. The main
goal of iterative thresholding methods is to find a so-called k-sparse solution. However, the …

Background Optimal treatment strategies for patients with stage IVa‐b hypopharyngeal
squamous cell carcinoma (HSCC) remain controversial. This study aimed to examine the …

Emotion recognition based on electroencephalography (EEG) signals is a current focus in
brain-computer interface research. However, the classification of EEG is difficult owing to …

As a pivotal tool to build interpretive models, variable selection plays an increasingly
important role in high‐dimensional data analysis. In recent years, variable selection …