Leukemia refers to a type of blood malignancy that develops due to certain hematological
disorders. Identifying leukemia at its earlier stages through clinical operations are highly …

The classification of cancers is one of the most vital functions of Microarray data analysis.
The classification of the gene expression profile is treated as a NP-Hard problem since it is a …

The recent advancements in today's medical sciences regarding Data Analytics have made
it possible for the use of efficient techniques for analysis. For prognosis, diagnosis and …

Blood cancer has been a growing concern during the last decade and requires early
diagnosis to start proper treatment. The diagnosis process is costly and time-consuming …

Background: Leukemia is defined as cancer of the body's blood-forming tissues, including
the bone marrow and the lymphatic system. Nowadays, microarray gene expression …

In the field of bioinformatics research, a large volume of genetic data has been generated.
Availability of higher throughput devices at lower cost has contributed to this generation of …

Microarray data analysis is a major challenging field of research in recent days. Machine
learning–based automated gene data classification is an essential aspect for diagnosis of …

Cancer is a serious public health concern worldwide and is the leading cause of death.
Blood cancer is one of the most dangerous types of cancer. Leukemia is a type of cancer …

In the 20th century, it is evident that there is a massive evolution of chronic diseases. The
data mining approaches beneficial in making some medicinal decisions for curing diseases …

Cancer classification based on microarray data is an important problem. Prediction models
are used for classification which helps the diagnosis procedures to improve and aid in the …