scholarly journals B-PO04-025 SIGNAL-TO-NOISE ANALYSIS OF MISSENSE VARIANTS WITHIN TBX5 SUGGESTS PRESENCE OF PHENOTYPE EXPRESSION-SPECIFIC VARIANT HOTSPOTS

Heart Rhythm ◽  
2021 ◽  
Vol 18 (8) ◽  
pp. S289
Author(s):  
Alexandra Markunas ◽  
Jordan E. Ezekian ◽  
Andrew P. Landstrom
Keyword(s):  
Noise Analysis ◽  
Signal To Noise ◽  
Missense Variants ◽  
Phenotype Expression

scholarly journals A 14‐year‐old in heart failure with multiple cardiomyopathy variants illustrates a role for signal‐to‐noise analysis in gene test re‐interpretation

2018 ◽  
Vol 7 (1) ◽  
pp. 211-217 ◽  
Author(s):  
Patrick S. Connell ◽  
Aamir Jeewa ◽  
Debra L. Kearney ◽  
Hari Tunuguntla ◽  
Susan W. Denfield ◽  
...  
Keyword(s):  
Heart Failure ◽  
Noise Analysis ◽  
Signal To Noise ◽  
Gene Test

The Noise Analysis of Fluid Systemsin Solid-State Nanopore Sensors

2013 ◽  
Vol 419 ◽  
pp. 517-520 ◽  
Author(s):  
Song Ying ◽  
Lei Wang ◽  
Wen Yuan Zhao
Keyword(s):  
Solid State ◽  
Signal To Noise Ratio ◽  
Noise Analysis ◽  
Power Spectra ◽  
Noise Power ◽  
Label Free ◽  
Signal To Noise ◽  
Fluid Systems ◽  
Noise Ratio ◽  
Nanopore Sensors

The solid-state nanopore sensor offers a versatile platform for the rapid, label-free electrical detection and analysis of single molecules, especially on DNA sequencing. However, the overall signal-to-noise ratio (SNA) is a major challenge in sequencing applications. In our work, two different fluid systems made by metal and plexiglass have been designed to improve the signal to noise ratio of the solid-state nanopore sensor. From the measurements on the noise power spectra with a variety of conditions, it is found that plexiglass fluid system coupled with shielding box produces a good quality of electric signals on nanopore sensors.

A dual-energy subtraction technique for microcalcification imaging in digital mammography-A signal-to-noise analysis

2002 ◽  
Vol 29 (8) ◽  
pp. 1739-1751 ◽  
Author(s):  
Michael R. Lemacks ◽  
S. Cheenu Kappadath ◽  
Chris C. Shaw ◽  
Xinming Liu ◽  
Gary J. Whitman
Keyword(s):  
Digital Mammography ◽  
Noise Analysis ◽  
Dual Energy ◽  
Subtraction Technique ◽  
Signal To Noise ◽  
Energy Subtraction

scholarly journals Comparative signal-to-noise analysis of fibre-optic based optical coherence tomography systems

2005 ◽  
Vol 52 (14) ◽  
pp. 1965-1979 ◽  
Author(s):  
H. D. Ford ◽  
R. Beddows ◽  
P. Casaubieilh ◽  
R. P. Tatam *
Keyword(s):  
Optical Coherence Tomography ◽  
Noise Analysis ◽  
Optical Coherence ◽  
Fibre Optic ◽  
Signal To Noise
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