Background For a long time, breast cancer has been a leading cancer diagnosed in women
worldwide, and approximately 90% of cancer-related deaths are caused by metastasis. For …

Today, there is a collection of a tremendous amount of bio-data because of the
computerized applications worldwide. Therefore, scholars have been encouraged to …

The common issues of high-dimensional gene expression data are that many of the genes
may not be relevant, and there exists a high correlation among genes. Gene selection has …

Feature extraction and classification of the histopathological image plays a significant role in
prediction and diagnosis of diseases, such as breast cancer. The common issues of the …

The dissection of a gene regulatory network (GRN) that complements the genome-wide
association study (GWAS) locus and the crosstalk underlying multiple agronomical traits …

Diagnosing cancer and identifying the disease gene by using DNA microarray gene
expression data are the hot topics in current bioinformatics. This paper is devoted to the …

Designing appropriate similarity metrics (distance) and estimating the optimal number of
clusters have been two important issues in cluster analysis. This study proposed an …

The identification of discriminative features from information‐rich data with the goal of
clinical diagnosis is crucial in the field of biomedical science. In this context, many machine …

Datasets produced in modern research, such as biomedical science, pose a number of
challenges for machine learning techniques used in binary classification due to high …

The adaptive immune receptor repertoire consists of the entire set of an individual's BCRs
and TCRs and is believed to contain a record of prior immune responses and the potential …