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

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The SRY-HMG box gene, SOX4, is a target of gene amplification at chromosome 6p in lung cancer†

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Histologic patterns and molecular characteristics of lung adenocarcinoma associated with clinical outcome

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Biomarkers in the Lung Cancer Diagnosis: A Clinical Perspective

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Novel image markers for non-small cell lung cancer classification and survival prediction

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Identifying survival associated morphological features of triple negative breast cancer using multiple datasets

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Update on biomarkers for the detection of lung cancer

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Lung adenocarcinoma in the era of targeted therapies: histological classification, sample prioritization, and predictive biomarkers

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Mining Histopathological Images via Composite Hashing and Online Learning

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Psf3 is a prognostic biomarker in lung adenocarcinoma

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Acquirement of DNA copy number variations in non-small cell lung cancer metastasis to the brain

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Computer-Assisted Diagnosis of Lung Cancer Using Quantitative Topology Features

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EGFR-Mutant Lung Adenocarcinomas Treated First-Line with the Novel EGFR Inhibitor, XL647, Can Subsequently Retain Moderate Sensitivity to Erlotinib

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Further evaluation of quantitative nuclear image features for classification of lung carcinomas

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Biomarkers and molecular profiling in non-small cell lung cancer: an expanding role and its managed care implications.

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AI in Medical Imaging Informatics: Current Challenges and Future Directions

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Integrating imaging and omics data: A review

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A Review of Fusion Methods for Omics and Imaging Data

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SPOP regulates the DNA damage response and lung adenocarcinoma cell response to radiation.

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Plakophilin-2 Promotes Lung Adenocarcinoma Development via Enhancing Focal Adhesion and Epithelial–Mesenchymal Transition

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BrcaSeg : A Deep Learning Approach for Tissue Quantification and Genomic Correlations of Histopathological Images

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Integrative analysis of histopathological images and chromatin accessibility data for estrogen receptor-positive breast cancer

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Computational Image Analysis Identifies Histopathological Image Features Associated With Somatic Mutations and Patient Survival in Gastric Adenocarcinoma

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Somatic genome alterations in relation to age in lung squamous cell carcinoma

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Histopathological Images and Multi-Omics Integration Predict Molecular Characteristics and Survival in Lung Adenocarcinoma

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Clinicogenomic landscape of morphological evolution in lung adenocarcinoma

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Integrating genetic mutations and expression profiles for survival prediction of lung adenocarcinoma

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Meta-Analysis of Genomic and Transcriptomic Variations in Lung AdenocarcinomaPreprint

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S48 Molecular characterisation of lung adenocarcinoma histological patterns

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