Research highlights: microfluidics meets big data

scientific article

Research highlights: microfluidics meets big data is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1039/C4LC90001D
P698PubMed publication ID24473594

P2093author name stringDino Di Carlo
Peter Tseng
Westbrook M Weaver
Mahdokht Masaeli
Keegan Owsley
P2860cites workDissecting genealogy and cell cycle as sources of cell-to-cell variability in MAPK signaling using high-throughput lineage trackingQ30541429
A chemostat array enables the spatio-temporal analysis of the yeast proteomeQ30547352
Promoter decoding of transcription factor dynamics involves a trade-off between noise and control of gene expressionQ30579303
Single cell microRNA analysis using microfluidic flow cytometryQ34576000
Tracking lineages of single cells in lines using a microfluidic deviceQ37385775
Trends in microRNA detectionQ39987506
Microfluidic flow-encoded switching for parallel control of dynamic cellular microenvironmentsQ40032813
A microfluidic system for dynamic yeast cell imaging.Q50647402
P433issue5
P921main subjectmicrofluidicsQ138845
big dataQ858810
P1104number of pages5
P304page(s)828-832
P577publication date2014-03-01
P1433published inLab on a ChipQ3214277
P1476titleResearch highlights: microfluidics meets big data
P478volume14