Reversed graph embedding resolves complex single-cell trajectories.
about
Computational approaches for interpreting scRNA-seq data.Comprehensive single-cell transcriptional profiling of a multicellular organism.The BRAIN Initiative Cell Census Consortium: Lessons Learned toward Generating a Comprehensive Brain Cell Atlas.Classification of gene signatures for their information value and functional redundancy.Mapping gene regulatory networks from single-cell omics data.Single-cell RNA-sequencing resolves self-antigen expression during mTEC development.Dissecting hematopoietic and renal cell heterogeneity in adult zebrafish at single-cell resolution using RNA sequencing.Single-cell transcriptomics of the developing lateral geniculate nucleus reveals insights into circuit assembly and refinement.SCANPY: large-scale single-cell gene expression data analysis.Extreme heterogeneity of influenza virus infection in single cells.Developmental diversification of cortical inhibitory interneurons.Reconstruction of complex single-cell trajectories using CellRouter.Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain.Characterization of germ cell differentiation in the male mouse through single-cell RNA sequencing.Molecular transitions in early progenitors during human cord blood hematopoiesis.Single-cell RNA-seq analysis unveils a prevalent epithelial/mesenchymal hybrid state during mouse organogenesis.The cis-regulatory dynamics of embryonic development at single-cell resolution.Single-Cell RNA-Seq of Mouse Dopaminergic Neurons Informs Candidate Gene Selection for Sporadic Parkinson Disease.ShinyCortex: Exploring Single-Cell Transcriptome Data From the Developing Human Cortex.Single-Cell Computational Strategies for Lineage Reconstruction in Tissue Systems.Single Cell Multi-Omics Technology: Methodology and Application.BGP: identifying gene-specific branching dynamics from single-cell data with a branching Gaussian process.Uncovering pseudotemporal trajectories with covariates from single cell and bulk expression data.Unsupervised embedding of single-cell Hi-C data.Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge.Immune Cell Dynamics Unfolded by Single-Cell Technologies.Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools databaseA systematic performance evaluation of clustering methods for single-cell RNA-seq dataModelling acute myeloid leukaemia in a continuum of differentiation statesSingle-cell RNA sequencing of adult mouse testesCardiomyocyte gene programs encoding morphological and functional signatures in cardiac hypertrophy and failureLineage dynamics of murine pancreatic development at single-cell resolutionTranscriptional Convergence of Oligodendrocyte Lineage Progenitors during DevelopmentGraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledgeExperimental Considerations for Single-Cell RNA Sequencing ApproachesSingle-cell RNA sequencing technologies and bioinformatics pipelinesA novel environment-evoked transcriptional signature predicts reactivity in single dentate granule neuronsAn Introduction to the Analysis of Single-Cell RNA-Sequencing DataDiscovery of a periosteal stem cell mediating intramembranous bone formationChronic infection stunts macrophage heterogeneity and disrupts immune-mediated myogenesis
P2860
Q36376343-11381C92-6674-4524-975A-10E2F39CF5B5Q38619221-84295EF2-2237-43F5-B0F0-53FA35B61AF1Q42778383-821F1F18-DC61-4E0F-89B6-10090CE492E9Q47102166-5F6D62D7-55BE-4D47-90CB-153728829F74Q47727614-A76F2156-4BAD-4760-825E-DDFBF6C27D8BQ47734588-56589605-F9EB-4BB8-B768-061F8DA5238AQ47846609-3C255AB1-A24A-474B-823E-E009D98644B5Q47855556-20F74C27-1B32-487F-A7DE-D81F52BFB773Q48096231-AFCA9346-6B62-4AFB-972E-B1BF632BAC74Q49933555-65B444DE-BFDD-4565-98C6-A49724149C87Q50420532-01E366D4-6676-4EDC-9A62-B55E83379801Q52370135-BE09FFE2-22BD-43EC-AF27-BF381262B550Q52431227-160A4A0E-E3BA-4AE0-AB43-D8262272875FQ52562772-A9DC926C-08B5-4606-916B-BFFAB9785524Q52653283-75B685DD-96D6-4780-BAD9-C4CF7160C901Q52655649-223D760E-716D-4B20-9BF3-BF504B54108AQ52655776-56373D8D-2C03-4C60-BC80-04986C33227EQ52677022-0AAAD19D-4E32-4F5A-B07D-4A39A652438EQ55001077-03DB22F9-0566-4B8C-AB70-BA7F3E36B090Q55032049-BFECB193-5614-4A8D-9145-A7F02D4AA9EAQ55080445-A825EBBF-A291-4825-B966-90A53CF23AB5Q55242364-7D720CC3-A7D2-4E7A-AE06-045066620606Q55423324-EB2A142A-FDEB-4BFD-B892-49B58A716D45Q55514143-904118F8-A45E-4473-9709-450C497323D7Q55514224-F9B2FC7B-6386-404F-B36C-F41B7602C1D0Q55651751-4C0D4F6D-3322-46DA-824F-8311657E3A55Q56394930-DF9BF603-9708-4755-B935-55987B0A7473Q56879988-75C6B767-843B-4E79-B2E7-511609AB8C0BQ57149916-A01336F8-47BB-4D52-ACFA-0B5D660A1039Q57158637-A298AFF2-450E-4650-8DFA-0E7328BA0388Q58097639-4D701742-B39D-452D-8418-A007E44AF764Q58698611-E77D0FA6-EDD2-4806-B89A-BAF435AED776Q58736166-B22F1531-07FB-4A51-B7E4-65EF2EFE35F0Q58751564-3962E845-631C-48EC-9DDA-A81DA615903AQ58764868-D5B88866-14BF-4E58-8C3E-C4010F8D9976Q58797494-EFC7E46B-9AAE-43DB-AAAF-7907A9EAAD8BQ58799516-7F7432CB-C5C6-4314-A453-56388F9E1D20Q58803556-A2EE258E-F90A-41D2-9201-3DC352E8ECD5Q59066621-0746E846-C780-4DF2-B96F-3F5F9301C5E3Q59134960-CA3A1756-1BDD-49ED-8C59-250FC2032D67
P2860
Reversed graph embedding resolves complex single-cell trajectories.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年学术文章
@wuu
2017年学术文章
@zh-cn
2017年学术文章
@zh-hans
2017年学术文章
@zh-my
2017年学术文章
@zh-sg
2017年學術文章
@yue
2017年學術文章
@zh
2017年學術文章
@zh-hant
name
Reversed graph embedding resolves complex single-cell trajectories.
@en
Reversed graph embedding resolves complex single-cell trajectories.
@nl
type
label
Reversed graph embedding resolves complex single-cell trajectories.
@en
Reversed graph embedding resolves complex single-cell trajectories.
@nl
prefLabel
Reversed graph embedding resolves complex single-cell trajectories.
@en
Reversed graph embedding resolves complex single-cell trajectories.
@nl
P2093
P2860
P50
P356
P1433
P1476
Reversed graph embedding resolves complex single-cell trajectories
@en
P2093
P2860
P2888
P304
P356
10.1038/NMETH.4402
P577
2017-08-21T00:00:00Z