VSports app下载 - Integrative single-cell analysis
- PMID: 30696980
- DOI: 10.1038/s41576-019-0093-7
Integrative single-cell analysis
Abstract
The recent maturation of single-cell RNA sequencing (scRNA-seq) technologies has coincided with transformative new methods to profile genetic, epigenetic, spatial, proteomic and lineage information in individual cells. This provides unique opportunities, alongside computational challenges, for integrative methods that can jointly learn across multiple types of data. Integrated analysis can discover relationships across cellular modalities, learn a holistic representation of the cell state, and enable the pooling of data sets produced across individuals and technologies. In this Review, we discuss the recent advances in the collection and integration of different data types at single-cell resolution with a focus on the integration of gene expression data with other types of single-cell measurement VSports手机版. .
VSports app下载 - Comment in
-
Optimizing biological inferences from single-cell data. (VSports)Nat Rev Genet. 2019 May;20(5):249. doi: 10.1038/s41576-019-0118-2. Nat Rev Genet. 2019. PMID: 30911142 No abstract available.
References (V体育官网入口)
-
- Hashimshony, T., Wagner, F., Sher, N. & Yanai, I. CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification. Cell Rep. 2, 666–673 (2012). - PubMed
"VSports手机版" Publication types
MeSH terms
- "V体育官网" Actions
- "V体育2025版" Actions
- Actions (V体育官网)
- VSports手机版 - Actions
- Actions (VSports手机版)
- "VSports" Actions
"V体育ios版" Substances
- "VSports最新版本" Actions
- "V体育官网入口" Actions
LinkOut - more resources
Full Text Sources
Other Literature Sources
