Results 221 to 230 of about 130,902 (295)

Effects of Rare Coding Variants in Severe Early-Onset Obesity Genes in the Population-Based UK Biobank Study.

open access: yesJ Clin Endocrinol Metab
Jia RY   +10 more
europepmc   +1 more source

Systematic analysis of loss-of-function variants across MODY genes demonstrates gene- and NMD-specific effects and identifies NMD-escape INS variants as a novel cause of MODY

open access: yes
Laver TW   +10 more
europepmc   +1 more source

LOF

open access: yesProceedings of the 2000 ACM SIGMOD international conference on Management of data, 2000
For many KDD applications, such as detecting criminal activities in E-commerce, finding the rare instances or the outliers, can be more interesting than finding the common patterns. Existing work in outlier detection regards being an outlier as a binary property.
Markus M. Breunig   +3 more
openaire   +2 more sources

SMOTE-LOF and Borderline-SMOTE Performance to Overcome Imbalanced Data and Outliers on Classification

2023 3rd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA), 2023
Dealing with data imbalance and outliers is an important challenge in data classification. The aim of this study is to improve classification performance by reducing the effects of class imbalance and the presence of outliers in the dataset.
Hanifatul Insan   +2 more
semanticscholar   +1 more source

Effects of CYP2C19 LoF allele on major adverse cardiovascular events associated with clopidogrel in acute coronary syndrome patients undergoing percutaneous coronary intervention: meta-analysis.

Pharmacogenomics (London), 2022
The aggregated risk of major adverse cardiovascular events (MACE) in acute coronary syndrome (ACS) patients inheriting CYP2C19 loss-of function (LoF) alleles who underwent percutaneous coronary intervention (PCI) and were treated with clopidogrel is ...
M. Biswas   +3 more
semanticscholar   +1 more source

An Improved LOF Outlier Detection Algorithm

2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), 2021
LOF (Local Outliers Factor) algorithm is a very classic anomaly detection algorithm. In order to detect the outliers more accurately, avoid too much testing error, and ensure the detection can be implemented relatively accurately in the data set without ...
Siying Xu   +3 more
semanticscholar   +1 more source

Lof der platheid

Tijdschrift over Cultuur & Criminaliteit, 2023
In praise of flatness – On campus protest and academic community The response to the OccupyEUR protest and an invitation to a survey on the university as a ‘brand’ are provocations. They flatten what a university actually is. The first provocation is that the OccupyEUR protest was framed by the university board as an opinion by protesters ...
openaire   +1 more source

Cost-effectiveness of CYP2C19 LOF-guided antiplatelet therapy in Chinese patients with acute coronary syndrome.

Pharmacogenomics (London), 2020
Aim: This study aimed to evaluate the cost-effectiveness of CYP2C19 loss-of-function(LOF) allele-guided antiplatelet therapy compared with the universal use of clopidogrel or ticagrelor among Chinese patients with acute coronary syndrome undergoing ...
Yu Fu   +6 more
semanticscholar   +1 more source

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