Leukemia multiclass assessment and classification from Microarray and RNA-seq technologies integration at gene expression level.

ABSTRACT: In more recent years, a significant increase in the number of available biological experiments has taken place due to the widespread use of massive sequencing data. Furthermore, the continuous developments in the machine learning and in the high performance computing areas, are allowing a faster and more efficient analysis and processing of this type of data. However, biological information about a certain disease is normally widespread due to the use of different sequencing technologies and different manufacturers, in different experiments along the years around the world. Thus, nowadays it is of paramount importance to attain a correct integration of biologically-related data in order to achieve genuine benefits from them. For this purpose, this work presents an integration of multiple M

SUBMITTER: Castillo D 

PROVIDER: S-EPMC6372182 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature