INTEGRATIVE ANALYSIS FOR LUNG ADENOCARCINOMA PREDICTS MORPHOLOGICAL FEATURES ASSOCIATED WITH GENETIC VARIATIONS-Reference-Cited by-同舟云学术

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INTEGRATIVE ANALYSIS FOR LUNG ADENOCARCINOMA PREDICTS MORPHOLOGICAL FEATURES ASSOCIATED WITH GENETIC VARIATIONS

Published:2016-11-22 Issue: Volume: Page:
ISSN:
Container-title:Biocomputing 2017
language:
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Author:

WANG CHAO¹,SU HAI²,YANG LIN²,HUANG KUN³

Affiliation:

1. Electrical and Computer Engineering, The Ohio State University, Columbus, Ohio, 43210, USA

2. Biomedical Engineering, University of Florida, Gainsville, Florida, 32611, USA

3. Biomedical Informatics, The Ohio State University, Columbus, Ohio, 43210, USA

Publisher

WORLD SCIENTIFIC

Link

http://www.worldscientific.com/doi/pdf/10.1142/9789813207813_0009

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. BrcaSeg: A Deep Learning Approach for Tissue Quantification and Genomic Correlations of Histopathological Images;Genomics, Proteomics & Bioinformatics;2021-07

3. Significance of TP53 Mutation in Cellular Process and Disease Progression in Lung Adenocarcinoma;Genetic Testing and Molecular Biomarkers;2021-05-01

4. Computational Image Analysis Identifies Histopathological Image Features Associated With Somatic Mutations and Patient Survival in Gastric Adenocarcinoma;Frontiers in Oncology;2021-03-31

5. Plakophilin-2 Promotes Lung Adenocarcinoma Development via Enhancing Focal Adhesion and Epithelial–Mesenchymal Transition;Cancer Management and Research;2021-01

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