Methods, Challenges and Potentials of Single Cell RNA-seq.

Methods, Challenges and Potentials of Single Cell RNA-seq.

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http://www.wikidata.org/entity/Q38212099
Current challenges in the bioinformatics of single cell genomics.Single-cell Transcriptome Study as Big DataImplications of Epigenetic Variability within a Cell Population for "Cell Type" ClassificationThe role of single-cell analyses in understanding cell lineage commitmentSingle Cell Isolation and AnalysisGenomics and proteomics in solving brain complexity.A new toolbox for assessing single cells.Parallel RNA extraction using magnetic beads and a droplet arrayModeling Enzyme Processivity Reveals that RNA-Seq Libraries Are Biased in Characteristic and Correctable Ways.Spatial transcriptomic analysis of cryosectioned tissue samples with Geo-seq.High-throughput, multiparameter analysis of single cells.Single-cell analysis of the transcriptome and its application in the characterization of stem cells and early embryos.Predictive approaches for drug combination discovery in cancer.A multitask clustering approach for single-cell RNA-seq analysis in Recessive Dystrophic Epidermolysis Bullosa.
P2860

Methods, Challenges and Potentials of Single Cell RNA-seq.

Item
http://www.wikidata.org/entity/Q38212099
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2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
@zh
2012年學術文章
@zh-hant
name
Methods, Challenges and Potentials of Single Cell RNA-seq.
@en
type
label
Methods, Challenges and Potentials of Single Cell RNA-seq.
@en
prefLabel
Methods, Challenges and Potentials of Single Cell RNA-seq.
@en
P1433
P1476
P2860
P304
P31
P356
P433
P478
P50
P577
P5875
P698
P921
P932
P356
P1433
P1476
Methods, Challenges and Potentials of Single Cell RNA-seq.
@en
P2860
P304
P31
P356
P433
P478
P50
P577
P5875
P698
P921
P932