454 antibody sequencing - error characterization and correction [PDF]
Background 454 sequencing is currently the method of choice for sequencing of antibody repertoires and libraries containing large numbers (106 to 1012) of different molecules with similar frameworks and variable regions which poses significant challenges
Prabakaran Ponraj +3 more
doaj +6 more sources
Regularization and error characterization of GRACE mascons. [PDF]
We present a new global time-variable gravity mascon solution derived from Gravity Recovery and Climate Experiment (GRACE) Level 1B data. The new product from the NASA Goddard Space Flight Center (GSFC) results from a novel approach that combines an iterative solution strategy with geographical binning of inter-satellite range-acceleration residuals in
Loomis BD, Luthcke SB, Sabaka TJ.
europepmc +6 more sources
Accountable Error Characterization [PDF]
Customers of machine learning systems demand accountability from the companies employing these algorithms for various prediction tasks. Accountability requires understanding of system limit and condition of erroneous predictions, as customers are often interested in understanding the incorrect predictions, and model developers are absorbed in finding ...
Misra, Amita, Liu, Zhe, Mahmud, Jalal
openaire +4 more sources
TanDEM-X PolarDEM 90 m of Antarctica: generation and error characterization [PDF]
We present the generation and validation of an updated version of the TanDEM-X digital elevation model (DEM) of Antarctica: the TanDEM-X PolarDEM 90 m of Antarctica.
B. Wessel +13 more
doaj +2 more sources
Error characterization of methane fluxes and budgets derived from a long-term comparison of open- and closed-path eddy covariance systems. [PDF]
Wetlands represent the dominant natural source of methane (CH4) to the atmosphere. Thus, substantial effort has been spent examining the CH4 budgets of global wetlands via continuous ecosystem-scale measurements using the eddy covariance (EC) technique ...
Deventer MJ +7 more
europepmc +2 more sources
Property Checking with Interpretable Error Characterization for Recurrent Neural Networks
This paper presents a novel on-the-fly, black-box, property-checking through learning approach as a means for verifying requirements of recurrent neural networks (RNN) in the context of sequence classification.
Franz Mayr, Sergio Yovine, Ramiro Visca
doaj +2 more sources
Error characterization and error correction approaches in combinatorial DNA-based storage [PDF]
Data storage in DNA has recently emerged as a promising archival solution, offering space-efficient and long-lasting digital storage. DNA’s ultra-high density and durability make it an attractive medium for long-term data storage.
Inbal Preuss +5 more
doaj +2 more sources
Modeling measurement error in tumor characterization studies [PDF]
Background Etiologic studies of cancer increasingly use molecular features such as gene expression, DNA methylation and sequence mutation to subclassify the cancer type.
Marjoram Paul +4 more
doaj +4 more sources
Medical error: concept, characterization and management [PDF]
The objective of this study is to better understand the tensions involved in the fear of making an error due to the harm and risk this would pose to those involved.
Vitor Mendonça +2 more
doaj +3 more sources
Quantum code for quantum error characterization [PDF]
11 pages, accepted for publication in Phys.
Omkar, S. +2 more
openaire +4 more sources

