Results 31 to 40 of about 86,859 (350)
Clinical and Translational Discovery, 2022 scRNA‐seq is on track for use as a routine measurement of clinical biochemistry and to assist in clinical decision‐making and guide the performance of molecular medicine, but there are still a large number of challenges to be overcome.
Hao Fang +5 more
doaj +1 more source
Molecular recording of mammalian embryogenesis. [PDF]
, 2019 Ontogeny describes the emergence of complex multicellular organisms from single totipotent cells. This field is particularly challenging in mammals, owing to the indeterminate relationship between self-renewal and differentiation, variation in progenitor
Adamson, Britt +13 more
core +2 more sources
Trajectory-based differential expression analysis for single-cell sequencing data [PDF]
, 2020 Trajectory inference has radically enhanced single-cell RNA-seq research by enabling the study of dynamic changes in gene expression. Downstream of trajectory inference, it is vital to discover genes that are (i) associated with the lineages in the ...
Cannoodt, Robrecht +7 more
core +2 more sources
Improved SNV discovery in barcode-stratified scRNA-seq alignments [PDF]
Genes, 2021 AbstractSingle cell SNV analysis is an emerging and promising strategy to connect cell-level genetic variation to cell phenotypes. At the present, SNV detection from 10x Genomics scRNA-seq data is typically performed on the pooled sequencing reads across all cells in a sample.
Prashant N. M. +6 more
openaire +3 more sources
Inferring spatial and signaling relationships between cells from single cell transcriptomic data. [PDF]
, 2020 Single-cell RNA sequencing (scRNA-seq) provides details for individual cells; however, crucial spatial information is often lost. We present SpaOTsc, a method relying on structured optimal transport to recover spatial properties of scRNA-seq data by ...
Cang, Zixuan, Nie, Qing
core
GNN-based embedding for clustering scRNA-seq data
Bioinformatics, 2021 Abstract Motivation Single-cell RNA sequencing (scRNA-seq) provides transcriptomic profiling for individual cells, allowing researchers to study the heterogeneity of tissues, recognize rare cell identities and discover new cellular subtypes.
Madalina Ciortan, Matthieu Defrance
openaire +2 more sources
Cancer Communications, 2020 Single‐cell RNA sequencing (scRNA‐seq) is a novel technology that allows transcriptomic analyses of individual cells. During the past decade, scRNA‐seq sensitivity, accuracy, and efficiency have improved due to innovations including more sensitive ...
Shuning Ding, Xiaosong Chen, Kunwei Shen
doaj +1 more source
Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variants. [PDF]
, 2020 The Genotype-Tissue Expression (GTEx) resource has provided insights into the regulatory impact of genetic variation on gene expression across human tissues; however, thus far has not considered how variation acts at the resolution of the different cell ...
D'Antonio, Matteo +3 more
core
The Cellular and Physiological Basis for Lung Repair and Regeneration: Past, Present, and Future. [PDF]
, 2020 The respiratory system, which includes the trachea, airways, and distal alveoli, is a complex multi-cellular organ that intimately links with the cardiovascular system to accomplish gas exchange.
Basil, Maria C +15 more
core +2 more sources