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Libo Wang

Researcher at Zhengzhou University

Publications -  36
Citations -  512

Libo Wang is an academic researcher from Zhengzhou University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 5, co-authored 12 publications receiving 49 citations.

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Machine learning-based integration develops an immune-derived lncRNA signature for improving outcomes in colorectal cancer

TL;DR: Li et al. as mentioned in this paper developed a machine learning-based integrative procedure for constructing a consensus immune-related lncRNA signature (IRLS), which is an independent risk factor for overall survival and displays stable and powerful performance, but only demonstrates limited predictive value for relapse-free survival.
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Machine learning-based integration develops an immune-derived lncRNA signature for improving outcomes in colorectal cancer

TL;DR: Li et al. as discussed by the authors developed a machine learning-based integrative procedure for constructing a consensus immune-related lncRNA signature (IRLS), which is an independent risk factor for overall survival and displays stable and powerful performance, but only demonstrates limited predictive value for relapse-free survival.
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Clinical Significance and Inflammatory Landscape of aNovel Recurrence-Associated Immune Signature in Stage II/III Colorectal Cancer

TL;DR: Wang et al. as mentioned in this paper developed and validated a recurrenceassociated immune signature (RAIS) based on global immune genes to identify patients at high recurrence-risk for improving post-operative individual management.
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The Identification and Validation of Two Heterogenous Subtypes and a Risk Signature Based on Ferroptosis in Hepatocellular Carcinoma.

TL;DR: In this article, a robust and promising signature termed ferroptosis related risk score (FRRS) was proposed for assessing prognosis and immunotherapy of hepatocellular carcinoma (HCC).
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Comprehensive Molecular Analyses of a Novel Mutational Signature Classification System with Regard to Prognosis, Genomic Alterations, and Immune Landscape in Glioma.

TL;DR: Wang et al. as mentioned in this paper performed cluster analysis based on the mutational signatures and further investigated the multidimensional heterogeneity of the novel glioma molecular subtypes, the clinical significance and immune landscape of four clusters also investigated.