LinTIMaT – a novel statistical learning approach for tracing cell lineage

June 22, 2020 1 Comment 2,794 Views

Our body consists of numerous cells that are functioning continuously to keep us alive. Even though the cells in different organs contain almost similar DNA, they can perform different functions. While the cells perform different functions, their...

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Tag Archives: LinTIMaT

LinTIMaT – a novel statistical learning approach for tracing cell lineage

SiT – spatial isoform transcriptomics

Analysis of single-cell rna-seq data

AllenDigger – spatial expression data visualization, spatial heterogeneity delineation, and single-cell registration based on the Allen Brain Atlas

New research identifies an inaccuracy in the single cell GENCODE gene model

Femtosecond laser microdissection for isolation of regenerating C. elegans neurons for single-cell RNA sequencing

Spatial epigenome–transcriptome co-profiling of mammalian tissues

A protocol for single nucleus RNA-seq from frozen skeletal muscle