Normalization and noise reduction for single cell RNA-seq experiments.
about
Design and computational analysis of single-cell RNA-sequencing experimentsSingle-cell Transcriptome Study as Big DataSingle-cell transcriptome sequencing: recent advances and remaining challengesSingle-cell technologies to study the immune systemDynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream AnalysisSingle-Cell Transcriptomics Bioinformatics and Computational ChallengesA step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor.Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in RDetecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorizationSCALE: modeling allele-specific gene expression by single-cell RNA sequencing.Assessment of Single Cell RNA-Seq Normalization MethodsCellular Deconstruction: Finding Meaning in Individual Cell Variation.Single Cell RNA-Sequencing of Pluripotent States Unlocks Modular Transcriptional Variation.Normalizing single-cell RNA sequencing data: challenges and opportunitiesAn international comparability study on quantification of mRNA gene expression ratios: CCQM-P103.1.Analysis of aggregated cell-cell statistical distances within pathways unveils therapeutic-resistance mechanisms in circulating tumor cells.Batch effects and the effective design of single-cell gene expression studies.Bioinformatics approaches to single-cell analysis in developmental biology.Repliscan: a tool for classifying replication timing regionsSingle-Cell RNA Sequencing: Unraveling the Brain One Cell at a Time.Lessons from single-cell transcriptome analysis of oxygen-sensing cells.A sparse differential clustering algorithm for tracing cell type changes via single-cell RNA-sequencing data.The Human Cell Atlas: Technical approaches and challenges.
P2860
Q26751087-DC7C54B4-8BF2-4834-9CC8-1E187F1256CEQ26766140-50B34954-18BA-4985-9783-2A76E6412F40Q26767451-915D1643-E370-4311-9B1E-C9A897152010Q26778375-5DD4CA41-62E8-4C2B-ADB5-F119BB06326BQ26782685-0CA27EA1-4400-4855-B88F-0FFBD38942D7Q28073365-E8046C40-FC66-424C-B9BA-0FB991903C67Q31146507-FDE736F7-6CD9-4144-B411-459C1B53D20BQ31154742-ACAAC44C-0A62-4B9A-B6A2-335EE4C98E89Q31157693-883CD6B2-192A-43D4-9358-D407F32E907FQ33608955-EF4F0170-2108-498A-9137-62FBE3963CF2Q33877272-E59ABC6E-B7B4-4E6B-A84F-8FA61140FD58Q36096824-4F960320-8D8E-48DE-9FDE-93E36EA8C948Q36128694-F7FB596E-79B8-4989-945D-63F3759A041AQ36371785-9B1EA09F-1A46-422D-9B47-803972152DAEQ37000029-A7268BB4-933F-4F9F-88FB-F0E1AD49E5B2Q37005458-9D0C855E-3650-40B2-BA28-3B589B9D55B3Q37550421-340681EE-FF27-4702-9F3F-D241E763431EQ38584509-1428C5AA-C17C-4D83-801F-CBC925354827Q38636606-11D5F206-0800-4560-A844-FFA8331722C4Q39304295-FDDD0F3B-D830-4535-B5A0-837746633BC5Q42777629-82C871B9-6B84-48CB-BD9F-81BEEEFA403CQ47593568-77BCD81D-DB81-4E56-B232-495D7D5DFC38Q48563763-5385FBE7-B43C-4F82-9632-8BE63B2F40CD
P2860
Normalization and noise reduction for single cell RNA-seq experiments.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Normalization and noise reduction for single cell RNA-seq experiments.
@en
type
label
Normalization and noise reduction for single cell RNA-seq experiments.
@en
prefLabel
Normalization and noise reduction for single cell RNA-seq experiments.
@en
P2093
P2860
P356
P1433
P1476
Normalization and noise reduction for single cell RNA-seq experiments.
@en
P2093
Andre Wildberg
Haiyang Jia
Lina Zheng
P2860
P304
P356
10.1093/BIOINFORMATICS/BTV122
P407
P577
2015-02-24T00:00:00Z