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。Deep Visual Proteomics defines single-cell identity and heterogeneity
Andreas Mund et al.
NATURE BIOTECHNOLOGY (2022)
TrackMate 7: integrating state-of-the-art segmentation algorithms into tracking pipelines
Dmitry Ershov et al.
NATURE METHODS (2022)
A real-time monitoring system for automatic morphology analysis of yeast cultivation in a jar fermenter
Yukina Kitahara et al.
APPLIED MICROBIOLOGY AND BIOTECHNOLOGY (2022)
Single-cell proteomic analysis
Thai Pham et al.
WIRES MECHANISMS OF DISEASE (2021)
CellProfiler 4: improvements in speed, utility and usability
David R. Stirling et al.
BMC BIOINFORMATICS (2021)
Live-cell imaging and analysis reveal cell phenotypic transition dynamics inherently missing in snapshot data
Weikang Wang et al.
SCIENCE ADVANCES (2020)
Recent Advances of Deep Learning in Bioinformatics and Computational Biology
Binhua Tang et al.
FRONTIERS IN GENETICS (2019)
Single-cell imaging and RNA sequencing reveal patterns of gene expression heterogeneity during fission yeast growth and adaptation
Malika Saint et al.
NATURE MICROBIOLOGY (2019)
Deep learning for cellular image analysis
Erick Moen et al.
NATURE METHODS (2019)
Metascape provides a biologist-oriented resource for the analysis of systems-level datasets
Yingyao Zhou et al.
NATURE COMMUNICATIONS (2019)
Single cell epigenome sequencing technologies
Lu Wen et al.
MOLECULAR ASPECTS OF MEDICINE (2018)
A growth factor-free culture system underscores the coordination between Wnt and BMP signaling in Lgr5(+) intestinal stem cell maintenance
Yehua Li et al.
CELL DISCOVERY (2018)
SCOPE-Seq: a scalable technology for linking live cell imaging and single-cell RNA sequencing
Jinzhou Yuan et al.
GENOME BIOLOGY (2018)
Scaling single-cell genomics from phenomenology to mechanism
Amos Tanay et al.
NATURE (2017)
Prospective identification of hematopoietic lineage choice by deep learning
Felix Buggenthin et al.
NATURE METHODS (2017)
Measuring Signaling and RNA-Seq in the Same Cell Links Gene Expression to Dynamic Patterns of NF-κB Activation
Keara Lane et al.
CELL SYSTEMS (2017)
Computational biology: deep learning
William Jones et al.
EMERGING TOPICS IN LIFE SCIENCES (2017)
SSBD: a database of quantitative data of spatiotemporal dynamics of biological phenomena
Yukako Tohsato et al.
BIOINFORMATICS (2016)
Deep learning for computational biology
Christof Angermueller et al.
MOLECULAR SYSTEMS BIOLOGY (2016)
Single-cell genome sequencing: current state of the science
Charles Gawad et al.
NATURE REVIEWS GENETICS (2016)
Single-Cell Whole-Genome Amplification and Sequencing: Methodology and Applications
Lei Huang et al.
ANNUAL REVIEW OF GENOMICS AND HUMAN GENETICS, VOL 16 (2015)
Fiji: an open-source platform for biological-image analysis
Johannes Schindelin et al.
NATURE METHODS (2012)
Long-term cultured E2A-deficient hematopoietic progenitor cells are pluripotent
T Ikawa et al.
IMMUNITY (2004)