Developing Robust Predictive Models for Head and Neck Cancer across ...
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This study utilizes feature integration and heterogeneous ensemble modeling techniques to develop robust models for predicting HNSCC disease status in both ...
This study utilizes feature integration and heterogeneous ensemble modeling techniques to develop robust models for predicting HNSCC disease status in both ...
Sep 9, 2015 · This study utilizes feature integration and heterogeneous ensemble modeling techniques to develop robust models for predicting HNSCC disease ...
Bibliographic details on Developing robust predictive models for head and neck cancer across microarray and RNA-seq data.
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Developing Robust Predictive Models for Head and Neck Cancer Across Microarray and RNA-seq Data by Chanchala D. Kaddi, May D. Wang.
Apr 14, 2024 · In this study, mRNA expression data and clinical data of HNSCC patients from The Cancer Genome Atlas were used. Overlapping candidate genes ( ...
Nov 7, 2023 · ... analysis of head and neck squamous cell carcinoma microarray data defines a robust survival predictor ... Models. Article ... development of cancer ...
Development of a novel signature derived from single cell RNA ...
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Jun 21, 2022 · By studying single cell RNA-sequencing data (scRNA-seq), differentially expressed mRNA were selected and analyzed through univariate logistic ...
Developing robust predictive models for head and neck cancer across microarray and RNA-seq data ... modeling techniques to develop robust models for predicting ...
Finally, RNA sequencing and gene expression analysis have been incorporated into clinical trials to identify markers predicting response to immunotherapy. Many ...