相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A novel 14-gene signature for overall survival in lung adenocarcinoma based on the Bayesian hierarchical Cox proportional hazards model
Na Sun et al.
SCIENTIFIC REPORTS (2022)
Deep learning using bulk RNA-seq data expands cell landscape identification in tumor microenvironment
Xin Wang et al.
ONCOIMMUNOLOGY (2022)
Identifying Lung Cancer Cell Markers with Machine Learning Methods and Single-Cell RNA-Seq Data
Guo-Hua Huang et al.
LIFE-BASEL (2021)
RNA-Based Assay for Next-Generation Sequencing of Clinically Relevant Gene Fusions in Non-Small Cell Lung Cancer
Caterina De Luca et al.
CANCERS (2021)
Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
Hyuna Sung et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2021)
Identification of expression signatures for non-small-cell lung carcinoma subtype classification
Ran Su et al.
BIOINFORMATICS (2020)
Optimizing Mutation and Fusion Detection in NSCLC by Sequential DNA and RNA Sequencing
Danielle Cohen et al.
JOURNAL OF THORACIC ONCOLOGY (2020)
Large-scale public data reuse to model immunotherapy response and resistance
Jingxin Fu et al.
GENOME MEDICINE (2020)
Deep learning-based cancer survival prognosis from RNA-seq data: approaches and evaluations
Zhi Huang et al.
BMC MEDICAL GENOMICS (2020)
Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma
Nayoung Kim et al.
NATURE COMMUNICATIONS (2020)
The role of EGFR mutations in predicting recurrence in early and locally advanced lung adenocarcinoma following definitive therapy
Carlos Galvez et al.
Oncotarget (2020)
Identification and Analysis of Dysfunctional Genes and Pathways in CD8+ T Cells of Non-Small Cell Lung Cancer Based on RNA Sequencing
Xuefang Tao et al.
FRONTIERS IN GENETICS (2020)
Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker
Bingxi He et al.
JOURNAL FOR IMMUNOTHERAPY OF CANCER (2020)
Predicting brain metastasis in early stage non-small cell lung cancer patients by gene expression profiling
Iris Kamer et al.
TRANSLATIONAL LUNG CANCER RESEARCH (2020)
Machine learning-based predictors for immune checkpoint inhibitor therapy of non-small-cell lung cancer
M. Wiesweg et al.
ANNALS OF ONCOLOGY (2019)
An immunogenic NSCLC microenvironment is associated with favorable survival in lung adenocarcinoma
Kevin B. Givechian et al.
Oncotarget (2019)
A recurrence plot-based approach for Parkinson's disease identification
Luis C. S. Afonso et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
Automated image analysis of NSCLC biopsies to predict response to anti-PD-L1 therapy
Sonja Althammer et al.
JOURNAL FOR IMMUNOTHERAPY OF CANCER (2019)
Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
Jakob Nikolas Kather et al.
NATURE MEDICINE (2019)
Comprehensive Profiling of Gene Copy Number Alterations Predicts Patient Prognosis in Resected Stages I-III Lung Adenocarcinoma
Xiaohong Han et al.
FRONTIERS IN ONCOLOGY (2019)
DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture
Alok Sharma et al.
SCIENTIFIC REPORTS (2019)
Combined targeted DNA and RNA sequencing of advanced NSCLC in routine molecular diagnostics: Analysis of the first 3,000 Heidelberg cases
Anna-Lena Volckmar et al.
INTERNATIONAL JOURNAL OF CANCER (2019)
Monitoring blood biomarkers to predict nivolumab effectiveness in NSCLC patients
Francesco Passiglia et al.
THERAPEUTIC ADVANCES IN MEDICAL ONCOLOGY (2019)
DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network
Jared L. Katzman et al.
BMC MEDICAL RESEARCH METHODOLOGY (2018)
RNA-sequencing in non-small cell lung cancer shows gene downregulation of therapeutic targets in tumor tissue compared to non-malignant lung tissue
Kobe Reynders et al.
RADIATION ONCOLOGY (2018)
Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data
Travers Ching et al.
PLOS COMPUTATIONAL BIOLOGY (2018)
Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response
Peng Jiang et al.
NATURE MEDICINE (2018)
Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma
Noam Auslander et al.
NATURE MEDICINE (2018)
Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning
Nicolas Coudray et al.
NATURE MEDICINE (2018)
Effect of machine learning methods on predicting NSCLC overall survival time based on Radiomics analysis
Wenzheng Sun et al.
RADIATION ONCOLOGY (2018)
Deep Semi Supervised Generative Learning for Automated Tumor Proportion Scoring on NSCLC Tissue Needle Biopsies
Ansh Kapil et al.
SCIENTIFIC REPORTS (2018)
Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study
Ahmed Hosny et al.
PLOS MEDICINE (2018)
An individualized gene expression signature for prediction of lung adenocarcinoma metastases
Lishuang Qi et al.
MOLECULAR ONCOLOGY (2017)
Classification and survival prediction for early-stage lung adenocarcinoma and squamous cell carcinoma patients
Suyan Tian
ONCOLOGY LETTERS (2017)
Prognostic alternative mRNA splicing signature in non-small cell lung cancer
Yuan Li et al.
CANCER LETTERS (2017)
Translating RNA sequencing into clinical diagnostics: opportunities and challenges
Sara A. Byron et al.
NATURE REVIEWS GENETICS (2016)
Predicting distant failure in early stage NSCLC treated with SBRT using clinical parameters
Zhiguo Zhou et al.
RADIOTHERAPY AND ONCOLOGY (2016)
A survey of best practices for RNA-seq data analysis
Ana Conesa et al.
GENOME BIOLOGY (2016)
Large-scale RNA-Seq Transcriptome Analysis of 4043 Cancers and 548 Normal Tissue Controls across 12 TCGA Cancer Types
Li Peng et al.
SCIENTIFIC REPORTS (2015)
Combined Targeted DNA Sequencing in Non-Small Cell Lung Cancer (NSCLC) Using UNCseq and NGScopy, and RNA Sequencing Using UNCqeR for the Detection of Genetic Aberrations in NSCLC
Xiaobei Zhao et al.
PLOS ONE (2015)
RNA sequencing identifies novel markers of non-small cell lung cancer
Seon-Sook Han et al.
LUNG CANCER (2014)
Detecting and correcting systematic variation in large-scale RNA sequencing data
Sheng Li et al.
NATURE BIOTECHNOLOGY (2014)
On the classification of long non-coding RNAs
Lina Ma et al.
RNA BIOLOGY (2013)
Gene-Expression Signature Predicts Postoperative Recurrence in Stage I Non-Small Cell Lung Cancer Patients
Yan Lu et al.
PLOS ONE (2012)
Identification of the transforming EML4-ALK fusion gene in non-small-cell lung cancer
Manabu Soda et al.
NATURE (2007)
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
J Khan et al.
NATURE MEDICINE (2001)