Data Analytics in Gene Expression Profiling: Exploring gene expression for cancer - Softcover

Kabir Ahmad, Farzana

Softcover

ISBN 10: 6138965280 ISBN 13: 9786138965282

Verlag: Scholars' Press, 2021

Inhaltsangabe

Microarray technology has shifted to a new era in molecular classification, however, interpreting gene expression data to remain a challenging issue due to their innate nature of “high dimensional low sample size”. Furthermore, this data is often overwhelmed, overfitting and confused by the complexity of data analysis. Small sample size and a large number of variables to be analysed posed significant challenges during data analysis, mainly in learning network structure. Moreover, the ability to study the gene interactions that form tumour growth is a great difficulty to computational biology researchers as gene does not work alone but involves complex interactions. This book aims to propose a dynamic Bayesian network-based model in order to identify gene signatures from large-scale gene expression profiles. The dynamic Bayesian network-based model attempts to discover the gene regulation that yields to breast cancer progression.

Über diesen Titel

Über die Autorin bzw. den Autor

Dr. Farzana Kabir Ahmad is a senior lecturer at the School of Computing, Universiti Utara Malaysia, MALAYSIA. She pursued her Ph.D. in Computer Science (Bioinformatics) from Universiti Teknologi Malaysia in 2012. Her main research interests are in data analytics projects to seek hidden information from huge and complex data sets.

Details zur Ausgabe

• Verlag: Scholars' Press
• Erscheinungsdatum: 2021
• Sprache: Englisch
• ISBN 10: 6138965280
• ISBN 13: 9786138965282
• Einband: Taschenbuch
• Anzahl der Seiten: 112
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: JustFiction Edition; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland