Results 211-220 of about 359
- A central problem in spatialtranscriptomics is detecting differentially expressed (DE) genes within cell types across tissue context. Challenges to learning DE include changing cell type composition across space and measurement pixels detecti
Date: (2022) Authors: Dylan M. Cable , Evan Murray , Vignesh Shanmugam , Simon Zhang ... Fei Chen - The function of many biological systems, such as embryos, liver lobules, intestinal villi, and tumors, depends on the spatial organization of their cells. In the past decade, high-throughput technologies have been developed to quantify gene
Date: (2022) Authors: Lambda Moses , Lior Pachter - Spatialtranscriptomics (ST) measures mRNA expression across thousands of spots from a tissue slice while recording the two-dimensional (2D) coordinates of each spot. We introduce probabilistic alignment of ST experiments (PASTE), a method to ali
Date: (2022) Authors: Ron Zeira , Max Land , Alexander Strzalkowski , Benjamin J. Raphael Date: (2022) - Benchmarking spatial and single-cell transcriptomics integration methods for transcript distribution prediction and cell... new windowSpatialtranscriptomics approaches have substantially advanced our capacity to detect the spatial distribution of RNA transcripts in tissues, yet it remains challenging to characterize whole-transcriptome-level data for single cells in spac
Date: (2022) Authors: Bin Li , Wen Zhang , Chuang Guo , Hao Xu ... Kun Qu - Researchers use electric fields to transfer RNA from a tissue sample onto a surface for subsequent fluorescence in situ hybridization-based profiling of transcriptomes at the single-cell level.
Date: (2022) Authors: Rita Strack - Correction to: Nature Methodshttps://doi.org/10.1038/s41592-022-01409-2 , published online 10 March 2022. In the version of this article initially published, there were errors in the y-axis labels in Fig. 3j. From top down, the first two lab
Date: (2022) Authors: Lambda Moses , Lior Pachter - Simultaneous Quantification of Spatial Genome Positioning and Transcriptomics in Single Cells with scDam&T-Seq new windowSpatial genome organization is considered to play an important role in mammalian cells, by guiding gene expression programs and supporting lineage specification. Yet it is still an outstanding question in the field what the direct impact of spatial
Date: (2022) Authors: Silke J. Lochs , Jop Kind Ref: Spatial Genome Organization - Nonnegative matrix factorization (NMF) is widely used to analyze high-dimensional count data because, in contrast to real-valued alternatives such as factor analysis, it produces an interpretable parts-based representation. However, in applications
Date: (2022) Authors: F. William Townes , Barbara E. Engelhardt - Perturb-map combines multiplex imaging and spatialtranscriptomics to dissect complex biological functions from CRISPR screens in tumor tissues.
Date: (2022) Authors: Lei Tang