Data exploration, quality control and testing in single-cell qPCR-based gene expression experiments.
about
Single-cell transcriptome sequencing: recent advances and remaining challengesBacterial Internalization, Localization, and Effectors Shape the Epithelial Immune Response during Shigella flexneri InfectionModeling bi-modality improves characterization of cell cycle on gene expression in single cellsOld cell, new trick? Cnidocytes as a model for the evolution of noveltyMultiplexed, targeted profiling of single-cell proteomes and transcriptomes in a single reactionMicrofluidics for single-cell genetic analysisProbabilistic PCA of censored data: accounting for uncertainties in the visualization of high-throughput single-cell qPCR data.Spatial reconstruction of single-cell gene expression data.Diffusion maps for high-dimensional single-cell analysis of differentiation data.SCExV: a webtool for the analysis and visualisation of single cell qRT-PCR data.MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data.Detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorizationAvidity-dependent programming of autoreactive T cells in T1DSingle-cell technologies for monitoring immune systems.Combined single-cell quantitation of host and SIV genes and proteins ex vivo reveals host-pathogen interactions in individual cellsLytic gene expression is frequent in HSV-1 latent infection and correlates with the engagement of a cell-intrinsic transcriptional responseBayesian approach to single-cell differential expression analysisHighly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter DropletsEntering the era of single-cell transcriptomics in biology and medicine.Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors.Single-cell RNA-seq reveals dynamic paracrine control of cellular variation.Geometry of the Gene Expression Space of Individual CellsGeneralized empirical Bayesian methods for discovery of differential data in high-throughput biology.Cooperativity of HIV-Specific Cytolytic CD4 T Cells and CD8 T Cells in Control of HIV Viremia.A Generic and Cell-Type-Specific Wound Response Precedes Regeneration in PlanariansRobust Inference of Cell-to-Cell Expression Variations from Single- and K-Cell Profiling.Single-cell analysis reveals a stem-cell program in human metastatic breast cancer cellsDistinct activation thresholds of human conventional and innate-like memory T cells.Derivation of Diverse Hormone-Releasing Pituitary Cells from Human Pluripotent Stem Cells.Highly multiplexed quantitation of gene expression on single cells.Massive and parallel expression profiling using microarrayed single-cell sequencing.Mixture models for single-cell assays with applications to vaccine studiesTGF-β receptor maintains CD4 T helper cell identity during chronic viral infectionsHuman dendritic cells (DCs) are derived from distinct circulating precursors that are precommitted to become CD1c+ or CD141+ DCs.A mine is a terrible thing to waste: high content, single cell technologies for comprehensive immune analysis.Massively parallel single-nucleus RNA-seq with DroNc-seq.Nanogrid single-nucleus RNA sequencing reveals phenotypic diversity in breast cancer.Bioinformatics approaches to single-cell analysis in developmental biology.IFNγ-Dependent Tissue-Immune Homeostasis Is Co-opted in the Tumor Microenvironment.Defining epithelial cell dynamics and lineage relationships in the developing lacrimal gland.
P2860
Q26767451-40FC5DD8-BEFD-48E7-A50E-1BF935E33D4FQ27322660-BFB9B468-411C-44AC-A2F8-758A859F17F9Q28540806-CBF2C345-1AE7-46F6-B7DD-8F1F5E2862ACQ28601465-CA27887C-2070-4740-9432-1D7DEBFFF6F4Q28829885-BCD09168-D2F5-461E-88F0-D843021B8ECCQ30403381-7EA94F61-CF82-47D6-B5A5-16C6D3D2E037Q30581638-9A07D83A-D58D-4AD1-84DE-4D9690381C56Q30930652-49D0B11E-8925-4C79-8539-4A5B4AF9992DQ30957322-BF833125-FF8B-4A55-803D-06AF9D2D9FFDQ31001532-E186EFC3-8861-47DC-96D2-A528D40E94CAQ31031428-87313B0A-558B-4BB1-BC22-F2196867A70CQ31157693-817062A4-68FC-4F36-AEDF-50263AB6EEC7Q33638598-D4D2A4B9-3316-43A3-8F46-01AD541D755FQ33692199-1DC95F2B-D9E3-46BA-AFB8-3CF58FFCAB1FQ33897996-00E096D3-E4DD-4E42-A855-EE54AFFE8AF1Q33946164-FC5E7FF4-C223-4770-AB05-9D448D0CE9E8Q33955732-5EE9E603-7FE1-42EF-ADF4-89EEEC47E746Q34044099-8DF2DF30-6286-4402-92F0-C29CBE2FA318Q34404044-8C13B2A4-1172-4FB1-B969-FA20D8D662A6Q34555562-88B1B6E0-1B18-48BE-923E-E1C652DCCDA5Q35185544-31120859-E2C9-4E82-B672-774DD3F8DDCAQ35688096-14349828-ED75-4DEA-B8A6-943CFEFCDA86Q35795780-581C7463-57D4-4EAF-AE4B-44B93F7170DCQ35861240-7F29DAE0-3793-43AB-B9C8-65F3095B022AQ35864570-889015C4-CF9B-4B4A-975F-34A8B384A512Q36082996-A82A9CF8-4DF7-419C-97DE-82ED2E5EA7BDQ36288896-2BDBF0E5-8AC7-4500-A493-0A73C290B2BBQ37016414-DAA6A94A-788C-4DB3-8A48-B4CE5BC04F07Q37017090-2B80A7D5-F4BA-4EAC-8668-363BBC35A91CQ37270293-CEB355C6-D746-4E35-AB35-6E903A9D1281Q37345329-1A6E463E-C813-4265-8996-3C6D6A65E7AEQ37390047-282FE0E7-9B31-4339-990A-44CD00A8A799Q37395668-CECF40F6-7791-4F76-8E55-FBDA7ADAC99EQ37500375-2A8BA7FB-8386-4B75-8335-AC28C243CC5BQ38364521-76A939DA-2DC4-4F6A-AB04-9F24BC2AC7C7Q38372101-FA083A05-E477-40CA-8C20-8FB6748C35E4Q38372439-342765CB-7382-4758-8905-892700562C8EQ38584509-5DE9C95D-6D05-4F2F-B84F-15A10427C8A8Q38699928-8863B8DF-D572-4A5B-91D5-AD8E389E7373Q38747580-3046F654-AC78-49E7-8F86-BC0714F42C5A
P2860
Data exploration, quality control and testing in single-cell qPCR-based gene expression experiments.
description
2012 nî lūn-bûn
@nan
2012 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Data exploration, quality cont ...... d gene expression experiments.
@ast
Data exploration, quality cont ...... d gene expression experiments.
@en
type
label
Data exploration, quality cont ...... d gene expression experiments.
@ast
Data exploration, quality cont ...... d gene expression experiments.
@en
prefLabel
Data exploration, quality cont ...... d gene expression experiments.
@ast
Data exploration, quality cont ...... d gene expression experiments.
@en
P2093
P2860
P50
P356
P1433
P1476
Data exploration, quality cont ...... ed gene expression experiments
@en
P2093
Laurie Lamoreaux
Maria Dominguez
Mario Roederer
Raphael Gottardo
Steven S Ma
P2860
P304
P356
10.1093/BIOINFORMATICS/BTS714
P407
P577
2012-12-24T00:00:00Z