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Determining biological noise via single cell analysis
Edgar A. Arriaga
Chemistry (Twin Cities)
Research output
:
Contribution to journal
›
Review article
›
peer-review
21
Scopus citations
Overview
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Dive into the research topics of 'Determining biological noise via single cell analysis'. Together they form a unique fingerprint.
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Keyphrases
Single-cell Analysis
100%
Biological Noise
100%
Stochastic Variation
50%
Biological Systems
25%
Mathematical Model
25%
Environmental Factors
25%
Cell Function
25%
Flow Cytometry
25%
Quantitative Characterization
25%
Flow Time
25%
Molecular Processes
25%
Time-lapse Imaging
25%
Cellular Heterogeneity
25%
Intrinsic Noise
25%
Extrinsic Noise
25%
Single-cell Methods
25%
Medicine and Dentistry
Cell Function
100%
Flow Cytometry
100%
Environmental Factor
100%
Time-Lapse Microscopy
100%
Agricultural and Biological Sciences
Single-Cell Analysis
100%
Flow Cytometry
50%
Environmental Factor
50%
Mathematical Model
50%
Time-Lapse Microscopy
50%
Engineering
Analysis Cell
100%
Biological System
50%
Mathematical Model
50%