Data from omics studies have been used for prediction and classification of various diseases in biomedical and bioinformatics research. In recent years, Machine Learning (ML) algorithms have been used in many different fields related to healthcare systems, especially for disease prediction and classification tasks. Integration of molecular omics data with ML algorithms has offered a great opportunity to evaluate clinical data. RNA sequence (RNA-seq) analysis has been emerged as the gold standard for transcriptomics analysis. Currently, it is being used widely in clinical research. In our present work, RNA-seq data of extracellular vesicles (EV) from healthy and colon cancer patients are analyzed. Our aim is to develop models for prediction ...
Colorectal cancer is the third most common type of cancer in the world. Colorectal cancer begins wit...
Machine learning approaches are powerful techniques commonly employed for developing cancer predicti...
Cancer has been characterized as a heterogeneous disease consisting of many different subtypes. The ...
Data from omics studies have been used for prediction and classification of various diseases in biom...
Nowadays, a variety of cancers have become common among humans which unfortunately are the cause of ...
Ribonucleic acid Sequencing (RNA-Seq) analysis is particularly useful for obtaining insights into di...
Nowadays, The gene expression analysis gains a significant research interest and plays an important ...
To use classification machine learning techniques to differentiate between early and late-stage colo...
Data-driven model with predictive ability are important to be used in medical and healthcare. Howeve...
Cancer classification is a topic of major interest in medicine since it allows accurate and efficien...
Gene mutations are the most important reason of cancer diseases, and there are different kind of cau...
Cancer is a group of diseases characterized by the uncontrolled growth and spread of abnormal cells....
Numerous areas of medical services, including as imaging diagnostics, advanced pathology, emergency ...
[[abstract]]This dissertation is motivated to the development of a computational method to improve p...
Cancer has become one of the major factors responsible for global deaths, due to late diagnoses and ...
Colorectal cancer is the third most common type of cancer in the world. Colorectal cancer begins wit...
Machine learning approaches are powerful techniques commonly employed for developing cancer predicti...
Cancer has been characterized as a heterogeneous disease consisting of many different subtypes. The ...
Data from omics studies have been used for prediction and classification of various diseases in biom...
Nowadays, a variety of cancers have become common among humans which unfortunately are the cause of ...
Ribonucleic acid Sequencing (RNA-Seq) analysis is particularly useful for obtaining insights into di...
Nowadays, The gene expression analysis gains a significant research interest and plays an important ...
To use classification machine learning techniques to differentiate between early and late-stage colo...
Data-driven model with predictive ability are important to be used in medical and healthcare. Howeve...
Cancer classification is a topic of major interest in medicine since it allows accurate and efficien...
Gene mutations are the most important reason of cancer diseases, and there are different kind of cau...
Cancer is a group of diseases characterized by the uncontrolled growth and spread of abnormal cells....
Numerous areas of medical services, including as imaging diagnostics, advanced pathology, emergency ...
[[abstract]]This dissertation is motivated to the development of a computational method to improve p...
Cancer has become one of the major factors responsible for global deaths, due to late diagnoses and ...
Colorectal cancer is the third most common type of cancer in the world. Colorectal cancer begins wit...
Machine learning approaches are powerful techniques commonly employed for developing cancer predicti...
Cancer has been characterized as a heterogeneous disease consisting of many different subtypes. The ...