Masters thesis of research deep learning in classifying cancer subtypes, extracting relevant genes and identifying novel mutations

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Masters thesis of research deep learning in classifying cancer subtypes, extracting relevant genes and identifying novel mutations

• RMITUNIVERSITYDEEP LEARNING IN CLASSIFYING CANCER SUBTYPES. EXTRACTINGRELEVANT GENES AND IDENTIFYING NOVEL MUTATIONSA thesis submitted in fulfilment

Masters thesis of research deep learning in classifying cancer subtypes, extracting relevant genes and identifying novel mutationst of the requirements for the degreeofMaster of EngineeringRaktim Kumar Mondol(B.Sc. in Electrical and Electronic Engineering. BRAC University)School

of EngineeringCollege of Science, Engieering and HealthRM IT UniversityMellwurne, Australia43497iiDECLARATIONIcertify that, except where due acknowled Masters thesis of research deep learning in classifying cancer subtypes, extracting relevant genes and identifying novel mutations

gment lias been made, the work presented in this thesis is that of the author alone; the work has not been submitted previously, in whole or in part,

Masters thesis of research deep learning in classifying cancer subtypes, extracting relevant genes and identifying novel mutations

to qualify for any other academic award; the content of the thesis is the result of work which has been carried out since the official commencement da

• RMITUNIVERSITYDEEP LEARNING IN CLASSIFYING CANCER SUBTYPES. EXTRACTINGRELEVANT GENES AND IDENTIFYING NOVEL MUTATIONSA thesis submitted in fulfilment

Masters thesis of research deep learning in classifying cancer subtypes, extracting relevant genes and identifying novel mutationselines have been followed. I acknowledge the support I have received for my research through the provision of an Australian Government Research TYaini

ng Program Scholarship.Raktim Kumar Mondol43739iiiACKNOWLEDGMENTSIt is a pleasure to acknowledge my appreciation to the people who have made this thes Masters thesis of research deep learning in classifying cancer subtypes, extracting relevant genes and identifying novel mutations

is possible. I wish to express my sincere gratit ude to my supervisors Dr. Omid Kavehei. Dr. Samuel Ippolito and Dr. Reza Bonyadi for their continued

Masters thesis of research deep learning in classifying cancer subtypes, extracting relevant genes and identifying novel mutations

guidance, motivation and support during my research. I would like to thank them for their patience, trust and encouragement throughout my masters. Fur

• RMITUNIVERSITYDEEP LEARNING IN CLASSIFYING CANCER SUBTYPES. EXTRACTINGRELEVANT GENES AND IDENTIFYING NOVEL MUTATIONSA thesis submitted in fulfilment

Masters thesis of research deep learning in classifying cancer subtypes, extracting relevant genes and identifying novel mutationsI would also like to extend my sincere thanks to my fellow PhD colleague Nhan Duy Truong for guidance in my project with his kind words.Finally, I wou

ld also like to thank my family for their support and understanding during this period.ivPREFACEThis dissertation is original and unpublished work by Masters thesis of research deep learning in classifying cancer subtypes, extracting relevant genes and identifying novel mutations

the author, R.K. Mondol.TABLE OF CONTEN TSPageLIST OF TABLES......................................................viiiLIST OF FIGURES.................

Masters thesis of research deep learning in classifying cancer subtypes, extracting relevant genes and identifying novel mutations

......................................ixABBREVIATIONS.........................................................xiNOMENCLATURE..........................

• RMITUNIVERSITYDEEP LEARNING IN CLASSIFYING CANCER SUBTYPES. EXTRACTINGRELEVANT GENES AND IDENTIFYING NOVEL MUTATIONSA thesis submitted in fulfilment