PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 4, 2021Genome ResearchOpen Access

A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing

View Full Paper
Ask AI
Bookmark
Share

Authors

BABrian D. AevermannYZYun ZhangMNMark Novotny

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Aevermann et al. (2021) studied this question.

synapsesocial.com/papers/6a2db1ce02d0d970e91b8646https://doi.org/10.1101/gr.275569.121
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The NIH BRAIN Initiative: Advancing neurotechnologies, integrating disciplines2018 · 59 citations
  2. 2Landscape of transcription in human cells2012 · 5,426 citations
  3. 3Single-cell transcriptomic evidence for dense intracortical neuropeptide networks2019 · 171 citations
  4. 4Cytosplore: Interactive Immune Cell Phenotyping for Large Single‐Cell Datasets2016 · 138 citations
  5. 5FR-Match: robust matching of cell type clusters from single cell RNA sequencing data using the Friedman–Rafsky non-parametric test2020 · 18 citations