The classification of patients as cancer and normal patients by applying the computational
methods on their gene expression profiles is an extremely important task. Recently, deep …

Deep Learning is a machine learning model that has shown superior performance for a wide
range of application. Deep learning has revived the old domain of artificial neural networks …

Data-driven model with predictive ability are important to be used in medical and healthcare.
However, the most challenging task in predictive modeling is to construct a prediction model …

Cancer has become a cause of concern in recent years. Cancer genomics is currently a key
research direction in the fields of genetic biology and biomedicine. This paper analyzes 5 …

Cancer is the major leading reason of death around the world. However, the early
identification and prediction of a cancer type is very critical for patient's health. Recently …

Cancer is a term that denotes a group of diseases caused by the abnormal growth of cells
that can spread in different parts of the body. According to the World Health Organization …

Although precision classification is a vital issue for therapy, cancer diagnosis has been
shown to have serious constraints. In this paper, we proposed a deep learning model based …

Cancer is one of the most common dreadful diseases prevailing worldwide, and patients
with cancer are rescued only when the cancer is detected at a very early stage. Early …

Lung and colon cancers are among the most common forms of the disease. The key to
effective treatment and long-term patient survival is a prompt and precise diagnosis …

Tumor is the major cause of death all around the world in recent days. Early detection and
prediction of a cancer type are important for a patient's well-being. Functional genomic data …