相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Preprocessing choices affect RNA velocity results for droplet scRNA-seq data
Charlotte Soneson et al.
PLOS COMPUTATIONAL BIOLOGY (2021)
RETrace: simultaneous retrospective lineage tracing and methylation profiling of single cells
Christopher Jen-Yue Wei et al.
GENOME RESEARCH (2020)
Quantification of mRNA translation in live cells using single-molecule imaging
Deepak Khuperkar et al.
NATURE PROTOCOLS (2020)
Single-cell transcriptional diversity is a hallmark of developmental potential
Gunsagar S. Gulati et al.
SCIENCE (2020)
CALISTA: Clustering and LINEAGE Inference in Single-Cell Transcriptional Analysis
Nan Papili Gao et al.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2020)
Imaging of DNA and RNA in Living Eukaryotic Cells to Reveal Spatiotemporal Dynamics of Gene Expression
Hanae Sato et al.
ANNUAL REVIEW OF BIOCHEMISTRY, VOL 89 (2020)
An Engineered CRISPR-Cas9 Mouse Line for Simultaneous Readout of Lineage Histories and Gene Expression Profiles in Single Cells
Sarah Bowling et al.
CELL (2020)
Lineage tracing meets single-cell omics: opportunities and challenges
Daniel E. Wagner et al.
NATURE REVIEWS GENETICS (2020)
Resolving Fates and Single-Cell Transcriptomes of Hematopoietic Stem Cell Clones by PolyloxExpress Barcoding
Weike Pei et al.
CELL STEM CELL (2020)
Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin
Sai Ma et al.
CELL (2020)
Single-cell lineage tracing unveils a role for TCF15 in haematopoiesis
Alejo E. Rodriguez-Fraticelli et al.
NATURE (2020)
Generalizing RNA velocity to transient cell states through dynamical modeling
Volker Bergen et al.
NATURE BIOTECHNOLOGY (2020)
Lineage reconstruction from clonal correlations
Caleb Weinreb et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2020)
Single-cell lineage tracing by integrating CRISPR-Cas9 mutations with transcriptomic data
Hamim Zafar et al.
NATURE COMMUNICATIONS (2020)
Parallel Single-Cell RNA-Seq and Genetic Recording Reveals Lineage Decisions in Developing Embryoid Bodies
Ik Soo Kim et al.
CELL REPORTS (2020)
Tempora: Cell trajectory inference using time-series single-cell RNA sequencing data
Thinh N. Tran et al.
PLOS COMPUTATIONAL BIOLOGY (2020)
From whole-mount to single-cell spatial assessment of gene expression in 3D
Lisa N. Waylen et al.
COMMUNICATIONS BIOLOGY (2020)
Single-cell lineage analysis reveals genetic and epigenetic interplay in glioblastoma drug resistance
Christine E. Eyler et al.
GENOME BIOLOGY (2020)
MOFA plus : a statistical framework for comprehensive integration of multi-modal single-cell data
Ricard Argelaguet et al.
GENOME BIOLOGY (2020)
Protein velocity and acceleration from single-cell multiomics experiments
Gennady Gorin et al.
GENOME BIOLOGY (2020)
Eleven grand challenges in single-cell data science
David Laehnemann et al.
GENOME BIOLOGY (2020)
Tumor Functional Heterogeneity Unraveled by scRNA-seq Technologies
Laura Gonzalez-Silva et al.
TRENDS IN CANCER (2020)
Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics
Leif S. Ludwig et al.
CELL (2019)
Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming
Geoffrey Schiebinger et al.
CELL (2019)
The single-cell transcriptional landscape of mammalian organogenesis
Junyue Cao et al.
NATURE (2019)
Characterization of cell fate probabilities in single-cell data with Palantir
Manu Setty et al.
NATURE BIOTECHNOLOGY (2019)
Integrative single-cell analysis
Tim Stuart et al.
NATURE REVIEWS GENETICS (2019)
A comparison of single-cell trajectory inference methods
Wouter Saelens et al.
NATURE BIOTECHNOLOGY (2019)
Inferring population dynamics from single-cell RNA-sequencing time series data
David S. Fischer et al.
NATURE BIOTECHNOLOGY (2019)
Joint analysis of heterogeneous single-cell RNA-seq dataset collections
Nikolas Barkas et al.
NATURE METHODS (2019)
A comprehensive single cell transcriptional landscape of human hematopoietic progenitors
Danilo Pellin et al.
NATURE COMMUNICATIONS (2019)
Murine single-cell RNA-seq reveals cell-identity- and tissue-specific trajectories of aging
Jacob C. Kimmel et al.
GENOME RESEARCH (2019)
High-throughput sequencing of the transcriptome and chromatin accessibility in the same cell
Song Chen et al.
NATURE BIOTECHNOLOGY (2019)
Unravelling cellular relationships during development and regeneration using genetic lineage tracing
Chloe S. Baron et al.
NATURE REVIEWS MOLECULAR CELL BIOLOGY (2019)
An ultra high-throughput method for single-cell joint analysis of open chromatin and transcriptome
Chenxu Zhu et al.
NATURE STRUCTURAL & MOLECULAR BIOLOGY (2019)
Genomic encoding of transcriptional burst kinetics
Anton J. M. Larsson et al.
NATURE (2019)
Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model
F. William Townes et al.
GENOME BIOLOGY (2019)
PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells
F. Alexander Wolf et al.
GENOME BIOLOGY (2019)
Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics
Kelly Street et al.
BMC GENOMICS (2018)
Integrated Single-Cell Analysis Maps the Continuous Regulatory Landscape of Human Hematopoietic Differentiation
Jason D. Buenrostro et al.
CELL (2018)
Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain
Bushra Raj et al.
NATURE BIOTECHNOLOGY (2018)
Alignment of single-cell trajectories to compare cellular expression dynamics
Ayelet Alpert et al.
NATURE METHODS (2018)
Fundamental limits on dynamic inference from single-cell snapshots
Caleb Weinreb et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)
RNA velocity of single cells
Gioele La Manno et al.
NATURE (2018)
Population snapshots predict early haematopoietic and erythroid hierarchies
Betsabeh Khoramian Tusi et al.
NATURE (2018)
Joint profiling of chromatin accessibility and gene expression in thousands of single cells
Junyue Cao et al.
SCIENCE (2018)
Aligning Single-Cell Developmental and Reprogramming Trajectories Identifies Molecular Determinants of Myogenic Reprogramming Outcome
Davide Cacchiarelli et al.
CELL SYSTEMS (2018)
Single-cell mapping of lineage and identity in direct reprogramming
Brent A. Biddy et al.
NATURE (2018)
Reversed graph embedding resolves complex single-cell trajectories
Xiaojie Qiu et al.
NATURE METHODS (2017)
Wishbone identifies bifurcating developmental trajectories from single-cell data
Manu Setty et al.
NATURE BIOTECHNOLOGY (2016)
Diffusion pseudotime robustly reconstructs lineage branching
Laleh Haghverdi et al.
NATURE METHODS (2016)
TSCAN: Pseudo-time reconstruction and evaluation in single-cell RNA-seq analysis
Zhicheng Ji et al.
NUCLEIC ACIDS RESEARCH (2016)
Determining Physical Mechanisms of Gene Expression Regulation from Single Cell Gene Expression Data
Daphne Ezer et al.
PLOS COMPUTATIONAL BIOLOGY (2016)
The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
Cole Trapnell et al.
NATURE BIOTECHNOLOGY (2014)
Coupled pre-mRNA and mRNA dynamics unveil operational strategies underlying transcriptional responses to stimuli
Amit Zeisel et al.
MOLECULAR SYSTEMS BIOLOGY (2011)
Noise in protein expression scales with natural protein abundance
Arren Bar-Even et al.
NATURE GENETICS (2006)
Noise in gene expression: Origins, consequences, and control
JM Raser et al.
SCIENCE (2005)
分享论文
