Prediction of NSCLC recurrence from microarray data with GEP
Version 2 2024-06-04, 08:00
Version 1 2017-06-01, 00:00
journal contribution
posted on 2024-06-04, 08:00 authored by Russul Al-AnniRussul Al-Anni, Jingyu HouJingyu Hou, RDA Abdu-aljabar, Yong XiangYong XiangPrediction of NSCLC recurrence from microarray data with GEP
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EnglandLanguage
EnglishPublication classification
C Journal article, C1 Refereed article in a scholarly journalCopyright notice
2017, Institution of Engineering and TechnologyJournal
IET Systems BiologyVolume
11Pagination
77-85ISSN
1751-8849eISSN
1751-8857Issue
3Publisher
INST ENGINEERING TECHNOLOGY-IETUsage metrics
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Keywords
Science & TechnologyLife Sciences & BiomedicineCell BiologyMathematical & Computational Biologylungcancerlab-on-a-chipgeneticspatient diagnosisNSCLC recurrence predictionmicroarray dataGE programmingnonsmall cell lung cancercancer recurrencehistopathology datamicroarray gene expressionprognostic genesCELL LUNG-CANCERNEURAL-NETWORKSBREAST-CANCERSVM-RFEGENECLASSIFICATIONSELECTIONALGORITHMSURVIVALRULESSchool of Information Technology080109 Pattern Recognition and Data Mining890301 Electronic Information Storage and Retrieval Services
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