Skip to main navigation
Skip to search
Skip to main content
Princeton University Home
Help & FAQ
Link opens in a new tab
Search content at Princeton University
Home
Profiles
Research units
Facilities
Projects
Research output
Press/Media
Multi-node graphs: A framework for multiplexed biological assays
Noga Alon
, Vera Asodi
, Charles Cantor
, Simon Kasif
, John Rachlin
Research output
:
Contribution to journal
›
Review article
›
peer-review
4
Link opens in a new tab
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Multi-node graphs: A framework for multiplexed biological assays'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Multiplex PCR (mPCR)
100%
Node Graph
100%
Multi-node
100%
Biological Assay
100%
Reaction Tubes
100%
Multiplexed
100%
Phase Transition
75%
Multiplexing
75%
DNA Locus
50%
Fundamental Limits
25%
Greedy Algorithm
25%
Cost-effectiveness
25%
High Probability
25%
Throughput Improvement
25%
Algorithm Design
25%
Cost Reduction
25%
Number of Loci
25%
Intrinsic Limits
25%
Primer Pairs
25%
Amplicon
25%
Multiplex Assay
25%
Polymerase Chain Reaction
25%
DNA Data
25%
Assay Design
25%
Saving Time
25%
Potential Cost Savings
25%
Mathematics
Greedy Algorithm
100%
Intrinsic Property
100%
Probability
100%
Computer Science
Chain Reaction
100%
Multiplexing
60%
Algorithm Design
20%
Fundamental Limit
20%
Intrinsic Property
20%
Cost Saving
20%
Greedy Algorithm
20%
Cost-effectiveness
20%
Biochemistry, Genetics and Molecular Biology
Multiplex Polymerase Chain Reaction
100%
Bioassay
100%
Amplicon
25%
Polymerase Chain Reaction
25%
Physics
Multiplexing
100%
Greedy Algorithm
33%
Probability Theory
33%