Among childhood cancer, acute lymphoblastic leukaemia (ALL) has been the most
extensively studied propelled by the desire to improve survival rate. DNA microarray …

Microarray gene expression profile shall be exploited for the efficient and effective
classification of cancers. This is a computationally challenging task because of large …

The efficacy of current treatment protocols for childhood cancer is mainly based on empirical
studies by adding drugs, changing drug dosages and changing drug combinations. In …

Recently, microarrays technologies have been extensively used to distinguish gene
expression in acute lymphoblastic leukaemia (ALL)(eg Pui et al., 2004; Hoffmann et al …

Background Recent findings from microarray studies have raised the prospect of a
standardized diagnostic gene expression platform to enhance accurate diagnosis and risk …

Acute lymphoblastic leukemia (ALL) is a heterogeneous group of white blood cell
malignancies. Though a number of clinical and biological prognostic factors have been …

We define an iterative method for dimensionality reduction using categorical gradient
boosted trees and Shapley values and created four machine learning models which …

Background: Microarray technology enables the examination of gene expression in
thousands of genes and can be highly effective in identifying various types of cancers …

The development of Microarray technology has provided vast amounts of data in various
fields, including a cancer database which plays a crucial role in cancer prediction and …

OBJECTIVE:: Acute lymphoblastic leukemia (ALL) is the most common malignancy of
childhood, representing nearly one third of all pediatric cancers. Currently, the treatment of …