Indexed keywords
SMALL CYTOPLASMIC RNA;
ALGORITHM;
DNA SEQUENCE;
GENE EXPRESSION PROFILING;
GENETICS;
HUMAN;
NEOPLASM;
PROCEDURES;
SEQUENCE ANALYSIS;
SINGLE CELL ANALYSIS;
SOFTWARE;
ALGORITHMS;
GENE EXPRESSION PROFILING;
HUMANS;
NEOPLASMS;
RNA, SMALL CYTOPLASMIC;
SEQUENCE ANALYSIS, DNA;
SEQUENCE ANALYSIS, RNA;
SINGLE-CELL ANALYSIS;
SOFTWARE;
1
84931274624
A survey of human brain transcriptome diversity at the single cell level
Darmanis,S. et al. (2015) A survey of human brain transcriptome diversity at the single cell level. Proc. Natl. Acad. Sci., 112, 7285–7290.
(2015)
Proc. Natl. Acad. Sci. , vol.112
, pp. 7285-7290
Darmanis, S.1
2
84992322906
Scell: Integrated analysis of single-cell RNA-seq data
Diaz,A. et al. (2016) SCell: integrated analysis of single-cell RNA-seq data. Bioinformatics, 32, 2219–2220.
(2016)
Bioinformatics , vol.32
, pp. 2219-2220
Diaz, A.1
3
84960091878
Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas
Hou,Y. et al. (2016) Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas. Cell Res., 26, 304–319.
(2016)
Cell Res , vol.26
, pp. 304-319
Hou, Y.1
4
84903574951
Bayesian approach to single-cell differential expression analysis
Kharchenko,P.V. et al. (2014) Bayesian approach to single-cell differential expression analysis. Nat. Methods, 11, 740–742.
(2014)
Nat. Methods , vol.11
, pp. 740-742
Kharchenko, P.V.1
5
84937573360
Single-cell mRNA sequencing identifies subclonal heterogeneity in anti-cancer drug responses of lung adenocarcinoma cells
Kim,K.-T. et al. (2015) Single-cell mRNA sequencing identifies subclonal heterogeneity in anti-cancer drug responses of lung adenocarcinoma cells. Genome Biol., 16, 127.
(2015)
Genome Biol , vol.16
, pp. 127
Kim, K.-T.1
6
84997605143
Single-cell sequencing maps gene expression to mutational phylogenies in PDGF- and EGF-driven gliomas
Müller,S. et al. (2016) Single-cell sequencing maps gene expression to mutational phylogenies in PDGF- and EGF-driven gliomas. Mol. Syst. Biol., 12, 889.
(2016)
Mol. Syst. Biol. , vol.12
, pp. 889
Müller, S.1
7
85038614969
Single-cell profiling of human gliomas reveals macrophage ontogeny as a basis for regional differences in macrophage activation in the tumor microenvironment
Müller,S. et al. (2017) Single-cell profiling of human gliomas reveals macrophage ontogeny as a basis for regional differences in macrophage activation in the tumor microenvironment. Genome Biol., 18, 234.
(2017)
Genome Biol , vol.18
, pp. 234
Müller, S.1
8
85016091925
Large-scale single-cell RNA-seq reveals a developmental hierarchy in human oligodendroglioma
Tirosh,I. et al. (2016) Large-scale single-cell RNA-seq reveals a developmental hierarchy in human oligodendroglioma. Nat. Publ. Gr., 539, 309–313.
(2016)
Nat. Publ. Gr. , vol.539
, pp. 309-313
Tirosh, I.1
9
85016574289
Decoupling genetics, lineages, and microenvironment in IDH-mutant gliomas by single-cell RNA-seq
Venteicher,A.S. et al. (2017) Decoupling genetics, lineages, and microenvironment in IDH-mutant gliomas by single-cell RNA-seq. Science (80-.), 355, eaai8478.
(2017)
Science (80-.) , vol.355
, pp. eaai8478
Venteicher, A.S.1
