Hydrophobicity identifies false positives and false negatives in peptide-MHC binding [PDF]
Major Histocompability Complex (MHC) Class I molecules allow cells to present foreign and endogenous peptides to T-Cells so that cells infected by pathogens can be identified and killed. Neural networks tools such as NetMHC-4.0 and NetMHCpan-4.1 are used
Arnav Solanki +5 more
doaj +2 more sources
All tests are imperfect: Accounting for false positives and false negatives using Bayesian statistics [PDF]
Tests with binary outcomes (e.g., positive versus negative) to indicate a binary state of nature (e.g., disease agent present versus absent) are common.
Song S. Qian +4 more
doaj +2 more sources
False negatives in GBA1 sequencing due to polymerase dependent allelic imbalance [PDF]
A variant in the GBA1 gene is one of the most common genetic risk factors to develop Parkinson’s disease (PD). Here the serendipitous finding is reported of a polymerase dependent allelic imbalance when using next generation sequencing, potentially ...
Jonas M. den Heijer +6 more
doaj +2 more sources
Prototype based contrastive graph clustering network for reducing false negatives [PDF]
Contrastive graph clustering methods significantly enhance the clustering performance of graph data by leveraging multi-view augmentation and contrastive loss. In particular, Self-Supervised Graph Contrastive Learning (SS-GCL) has gained attention due to
Cuihua Ma +5 more
doaj +2 more sources
False positives and false negatives measure less than 0.001% in labeling ssDNA with osmium tetroxide 2,2’-bipyridine [PDF]
Osmium tetroxide 2,2’-bipyridine (OsBp) is known to react with pyrimidines in ssDNA and preferentially label deoxythymine (T) over deoxycytosine (C). The product, osmylated DNA, was proposed as a surrogate for nanopore-based DNA sequencing due to OsBp’s “
Anastassia Kanavarioti
doaj +2 more sources
Reducing False Negatives in COVID-19 Testing by Using Microneedle-Based Oropharyngeal Swabs [PDF]
Lin Wang, Zheng Wang, Zheng Wang
exaly +2 more sources
All the sites we cannot see: Sources and mitigation of false negatives in RNA modification studies [PDF]
Wendy V Gilbert
exaly +2 more sources
False negatives of screening in large-scale population
ObjectiveTo explore the changing trend of negative predictive value and number of false negatives in screening tests under the condition of low infection rate of infectious diseases.MethodsAssuming that the population is 20 million, to calculate the ...
XU Ning +4 more
doaj +1 more source
Context-Sensitive Data Race Detection for Concurrent Programs
Data races have become one of the severe issues affecting the correctness of concurrent programs. Existing detection tools for data races have many false positives and false negatives.
Yang Zhang, Huan Liu, Liu Qiao
doaj +1 more source
Self-supervised learning has been shown to be effective in various fields, proving its usefulness in contrastive learning. Recently, graph contrastive learning has shown state-of-the-art performance in the recommendation task.
Sanghun Kim, Hyeryung Jang
doaj +1 more source

