Mining Outlier Data in Mobile Internet-Based Large Real-Time Databases
Complexity, 2018 Mining outlier data guarantees access security and data scheduling of parallel databases and maintains high-performance operation of real-time databases.
Xin Liu, Yanju Zhou, Xiaohong Chen
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Comparative study on multivariate outlier detection methods in sesame (Sesamum indicum L.)
Electronic Journal of Plant Breeding, 2019 Outlier detection in multivariate dataset is not quite trivial when compared to univariate. The tediousness in multivariate outlier is due to presence of swamping and masking effect which portrays an ideal sample point as outlier instead of true one ...
K. Muthu Prabakaran +3 more
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Tumor mutational burden as a determinant of metastatic dissemination patterns
Molecular Oncology, EarlyView.This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal +4 more
wiley +1 more source
Outliers in diffusion-weighted MRI: Exploring detection models and mitigation strategies
NeuroImage, 2023 Diffusion-weighted MRI (dMRI) is a medical imaging method that can be used to investigate the brain microstructure and structural connections between different brain regions. The method, however, requires relatively complex data processing frameworks and
Viljami Sairanen, Jesper Andersson
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A taxonomy framework for unsupervised outlier detection techniques for multi-type data sets [PDF]
, 2007 The term "outlier" can generally be defined as an observation that is significantly different from the other values in a data set. The outliers may be instances of error or indicate events.
Havinga, P.J.M. +2 more
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Robust Identification of Target Genes and Outliers in Triple-negative Breast Cancer Data [PDF]
, 2018 Correct classification of breast cancer sub-types is of high importance as it directly affects the therapeutic options. We focus on triple-negative breast cancer (TNBC) which has the worst prognosis among breast cancer types.
Casimiro, Sandra +4 more
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Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
Molecular Oncology, EarlyView.Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra +6 more
wiley +1 more source
SmallTalk: a novel small‐sized fusion tag for peptide expression and purification
FEBS Open Bio, EarlyView.The SmallTalk fusion tag allows for the efficient expression and purification of soluble recombinant proteins or peptides in Escherichia coli. Testing with SmallTalk‐GFP confirmed that the proteins were soluble and folded correctly, while SmallTalk‐Bin1b maintained its antimicrobial activity against various bacterial isolates. This streamlined workflow
Atika Tariq +3 more
wiley +1 more source
Abnormal Data Detection Method Based on Ant Colony Algorithm [PDF]
Jisuanji gongcheng, 2016 Since the traditional outlier detection technology based on Omeasure needs to search all paths while detecting abnormal data and it is easy to make misjudgments under the scenario of less amount of data.Hence,it has obvious defects on the efficiency and
CAI Mei,LIU Bo
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Outliers in multivariate time series [PDF]
, 1998 This paper considers outliers in multivariate time series analysis. It generalizes four types of disturbances commonly used in the univariate time series analysis to the multivariate case, and investigates dynamic effects of a multivariate outlier on ...
Pankratz, Alan E. +2 more
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