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Rifat A. Hamoudi
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2020 – today
- 2021
- [j3]Joaquim Carreras
, Rifat A. Hamoudi
:
Artificial Neural Network Analysis of Gene Expression Data Predicted Non-Hodgkin Lymphoma Subtypes with High Accuracy. Mach. Learn. Knowl. Extr. 3(3): 720-739 (2021) - 2020
- [j2]Joaquim Carreras
, Yara Yukie Kikuti, Masashi Miyaoka, Shinichiro Hiraiwa, Sakura Tomita, Haruka Ikoma, Yusuke Kondo, Atsushi Ito, Naoya Nakamura, Rifat A. Hamoudi
:
Artificial Intelligence Analysis of the Gene Expression of Follicular Lymphoma Predicted the Overall Survival and Correlated with the Immune Microenvironment Response Signatures. Mach. Learn. Knowl. Extr. 2(4): 647-671 (2020)
2010 – 2019
- 2019
- [c4]Mahmood Yaseen Hachim
, Bassam Mahboub, Qutayba Hamid, Rifat A. Hamoudi:
Identifying Asthma genetic signature patterns by mining Gene Expression BIG Datasets using Image Filtering Algorithms. IST 2019: 1-6 - [c3]Rifat A. Hamoudi, Meriem Bettayeb
, Areej Alsaafin, Mahmood Hachim
, Qassim Nasir, Ali Bou Nassif:
Identifying Patterns of Breast Cancer Genetic Signatures using Unsupervised Machine Learning. IST 2019: 1-6 - [c2]Rifat A. Hamoudi
, Sarah Hammoudeh, Arabella Hammoudeh, Surendra Rawat
:
Semi-Automated Image Analysis Methodology to Investigate Intracellular Heterogeneity in Immunohistochemical Stained Sections. IST 2019: 1-4 - 2015
- [c1]Avi Rosenfeld, David G. Graham, Rifat A. Hamoudi
, Rommel Butawan, Victor Eneh, Saif Khan, Haroon Miah, Mahesan Niranjan
, Laurence B. Lovat
:
MIAT: A novel attribute selection approach to better predict upper gastrointestinal cancer. DSAA 2015: 1-7
2000 – 2009
- 2005
- [j1]Rifat A. Hamoudi
, Amina El-Hamidi, Ming-Qing Du:
Identification of novel prognostic markers in cervical intraepithelial neoplasia using LDMAS (LOH Data Management and Analysis Software). BMC Bioinform. 6: 18 (2005)
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