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Xiang Lin

Researcher at New Jersey Institute of Technology

Publications -  18
Citations -  217

Xiang Lin is an academic researcher from New Jersey Institute of Technology. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 3, co-authored 11 publications receiving 45 citations.

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Journal ArticleDOI

Very low mutation burden is a feature of inflamed recurrent glioblastomas responsive to cancer immunotherapy.

TL;DR: This paper performed genomic analysis of tumor tissue from recurrent WHO grade IV glioblastoma patients acquired prior to immunotherapy intervention and reported that very low tumor mutation burden is associated with longer survival after recombinant polio virotherapy or after immune checkpoint blockade in recurrent glioblastic tumor patients.
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Model-based deep embedding for constrained clustering analysis of single cell RNA-seq data.

TL;DR: Wang et al. as discussed by the authors proposed a principled clustering method named scDCC, which integrates domain knowledge into the clustering step to facilitate the biological interpretability of clusters, and subsequent cell type identification.
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Clustering of single-cell multi-omics data with a multimodal deep learning method

TL;DR: Wang et al. as discussed by the authors developed a multimodal deep learning method, scMDC, for single-cell multi-omics data clustering analysis, which is an end-to-end deep model that explicitly characterizes different data sources and jointly learns latent features of deep embedding.
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The microbiome of HPV-positive tonsil squamous cell carcinoma and neck metastasis.

TL;DR: In this article, the authors used pan-pathogen microarray (PathoChip) to determine the bacterial microbiome in patients with Oropharyngeal squamous cell carcinoma (OPSCC) and compared them to benign tonsil specimens.