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  • Single-cell RNA-seq analysis to identify potential biomarkers for . . .
    Several articles have identified biomarkers for NSCLC diagnosis using bulk RNAseq technology , , , , scRNA-sequencing categorizes the cell types across multiple tissues, whereas bulk RNA sequencing involves the use of a tissue or cell population [6,7] scRNA-seq is widely used to determine tumor heterogeneity, cellular identities, novel
  • Applications of single-cell RNA sequencing in drug discovery and . . .
    a, Single-cell RNA sequencing or single-cell multi-omics technologies enable the identification of a predictive biomarker from a cohort of patients enrolled in an early-phase clinical study Such
  • Biomarker discovery using scRNA-seq: whats the big deal?
    Single-cell transcriptomics data can be complex, noisy, and large-scale This presents challenges in scRNA-seq analysis and thus biomarker discovery If you are looking for an easier way to explore your data, try out Cellenics® - an open source user-friendly tool for single cell RNA-seq data analysis and visualization!
  • Applications and emerging challenges of single-cell RNA sequencing . . .
    The advancement of single-cell RNA sequencing (scRNA-seq) technology offers new opportunities for tumor drug discovery (TME) and heterogeneity, enhancing our comprehension of tumor mechanisms and facilitating the discovery of tumor biomarkers Tumor biomarkers can characterize different tumor subtypes, and patients can be stratified on the
  • DIscBIO: A User-Friendly Pipeline for Biomarker Discovery in Single . . .
    1 Introduction Single-cell RNA sequencing (scRNA-seq) is a powerful technology that has already shown great potential and the field is rapidly expanding [1,2] In animals, scRNA-seq is providing a leap forward in resolving cellular diversity and giving unprecedented insight into gene expression changes during development, regeneration and disease [3,4,5,6,7,8]
  • Applications and emerging challenges of single-cell RNA sequencing . . .
    Current therapeutic drugs are inadequate for curing tumors, highlighting the need for novel tumor drugs The advancement of single-cell RNA sequencing (scRNA-seq) technology offers new opportunities for tumor drug discovery This technology allows us to explore tumor heterogeneity and developmental mechanisms at the single-cell level
  • Single cell immune profiling fuels biomarker discovery in clinical . . .
    Researchers often use flow cytometry and mass cytometry to explore cell diversity, especially in immuno-oncology, but these methods require the use of well-characterized protein markers, limiting the potential for novel biomarker discovery Bulk RNA-sequencing (RNA-seq) opened the door to characterizing cells using the whole transcriptome, but
  • scATD: a high-throughput and interpretable framework for single-cell . . .
    Biomarker identification at single cell level scATD enables single-cell resolution interpretations for each patient Taking prostate cancer patients undergoing Docetaxel treatment as examples, six single-cell sequencing datasets in the GSE137829 were analyzed Key features and genes were identified using the scATD-sf and scATD-sf-dist models
  • Integrating single-cell and bulk RNA profiles to uncover glutamine . . .
    The single-cell RNA sequencing dataset GSE118900, comprising 597 CD138-positive plasma cells from 15 individuals, was analyzed to characterize cellular GMRGs Raw data were normalized using log2 transformation, and samples genes with missing values were excluded to ensure analytical robustness
  • Single-cell RNA sequencing in cancer: Applications, advances, and . . .
    The quickly advancing method of single-cell RNA sequencing (scRNA-seq), by exhibiting its ability for characterizing the epigenome, transcriptome, and genome of one individual cell, profoundly presents insights into genetics and tumor biology, and it will enable us to understand the changes in the various stages of tumor progression to advanced





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