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Transcriptomics
Transcriptomics has become an integral approach in all areas of plant sciences. Advances in plant transcriptomics and new tools and techniques that...
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Transcriptomics for Tea Plants
Transcriptomics can provide a comprehensive understanding of gene expression profiles and regulatory mechanisms in cells or tissues. It has been...
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Contrastive Masked Graph Autoencoders for Spatial Transcriptomics Data Analysis
Spatial transcriptomics is an emerging genomics technology aimed at revealing the spatial distribution of gene expression at the tissue or cellular...
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iIMPACT: integrating image and molecular profiles for spatial transcriptomics analysis
Current clustering analysis of spatial transcriptomics data primarily relies on molecular information and fails to fully exploit the morphological...
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Transcriptomics
The transcriptome is the set of all RNA molecules in one cell or a population of cells...
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HyperGCN: an effective deep representation learning framework for the integrative analysis of spatial transcriptomics data
BackgroundAdvances of spatial transcriptomics technologies enabled simultaneously profiling gene expression and spatial locations of cells from the...
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Transcriptomics
The RNA-sequencing (RNA-Seq) method is a relative abundance measurement technology. The primary goal of the differential gene expression analysis is...
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A Review of the Application of Spatial Transcriptomics in Neuroscience
Since spatial transcriptomics can locate and distinguish the gene expression of functional genes in special regions and tissue, it is important for...
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Spatial transcriptomics analysis of zone-dependent hepatic ischemia-reperfusion injury murine model
Hepatic ischemia-reperfusion (I/R) injury is a common complication in liver transplantation. The connection between I/R-induced injury response and...
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SCS: cell segmentation for high-resolution spatial transcriptomics
Spatial transcriptomics promises to greatly improve our understanding of tissue organization and cell–cell interactions. While most current platforms...
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Meta-analysis of transcriptomics studies identifies novel attributes and set of genes involved in iron homeostasis in rice
Iron (Fe) is an important micronutrient for humans as well as for plant growth and development. Rice employs multiple mechanisms to counteract the...
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MNMST: topology of cell networks leverages identification of spatial domains from spatial transcriptomics data
Advances in spatial transcriptomics provide an unprecedented opportunity to reveal the structure and function of biology systems. However, current...
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Transcriptomics in Plant
Within a span of about 20 years, transcriptomics has established itself as an indispensible tool in almost all the areas of plant research. This...
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Single-cell transcriptomics: background, technologies, applications, and challenges
Single-cell sequencing was developed as a high-throughput tool to elucidate unusual and transient cell states that are barely visible in the bulk....
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stEnTrans: Transformer-Based Deep Learning for Spatial Transcriptomics Enhancement
The spatial position of cells within tissues and organs is crucial for the manifestation of their specific functions. Spatial transcriptomics...
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Data-driven transcriptomics analysis identifies PCSK9 as a novel key regulator in liver aging
The liver, as a crucial metabolic organ, undergoes significant pathological changes during the aging process, which can have a profound impact on...
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TISSUE: uncertainty-calibrated prediction of single-cell spatial transcriptomics improves downstream analyses
Whole-transcriptome spatial profiling of genes at single-cell resolution remains a challenge. To address this limitation, spatial gene expression...
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Expansion spatial transcriptomics
Capture array-based spatial transcriptomics methods have been widely used to resolve gene expression in tissues; however, their spatial resolution is...
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Transcriptomics: illuminating the molecular landscape of vegetable crops: a review
Vegetables play a crucial role in global health and nutrition. Transcriptomics, a branch of functional genomics, has emerged as a powerful tool for...
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Bento: a toolkit for subcellular analysis of spatial transcriptomics data
The spatial organization of molecules in a cell is essential for their functions. While current methods focus on discerning tissue architecture,...
