Predicting PD-L1 Status in Solid Tumors Using Transcriptomic Data and Artificial Intelligence Algorithms
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Title
Predicting PD-L1 Status in Solid Tumors Using Transcriptomic Data and Artificial Intelligence Algorithms
Authors
Keywords
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Journal
JOURNAL OF IMMUNOTHERAPY
Volume -, Issue -, Pages -
Publisher
Ovid Technologies (Wolters Kluwer Health)
Online
2023-11-02
DOI
10.1097/cji.0000000000000489
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- Role of microRNAs, circRNAs and long noncoding RNAs in acute myeloid leukemia
- (2019) Yan Liu et al. Journal of Hematology & Oncology
- Analytical Validation of a Next-Generation Sequencing Assay to Monitor Immune Responses in Solid Tumors
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- (2018) Norio Chihara et al. NATURE
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- Predictive biomarkers for checkpoint inhibitor-based immunotherapy
- (2016) Geoffrey T Gibney et al. LANCET ONCOLOGY
- PD-L1 expression in human cancers and its association with clinical outcomes
- (2016) Jinming Yu et al. OncoTargets and Therapy
- Robust detection of immune transcripts in FFPE samples using targeted RNA sequencing
- (2016) Benjamin E. Paluch et al. Oncotarget
- PD-L1 Testing in Cancer
- (2016) Aaron R. Hansen et al. JAMA Oncology
- PD-L1 Expression as a Predictive Biomarker
- (2016) Feriyl Bhaijee et al. JAMA Oncology
- The Transcription Factor NFAT Promotes Exhaustion of Activated CD8 + T Cells
- (2015) Gustavo J. Martinez et al. IMMUNITY
- Whole-Transcriptome profiling of formalin-fixed, paraffin-embedded renal cell carcinoma by RNA-seq
- (2014) Ping Li et al. BMC GENOMICS
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