Results 61 to 70 of about 23,619,888 (317)
Molecular Oncology, EarlyView.Detection of extrachromosomal circular DNA (eccDNA) in plasma samples from EGFR‐mutated non‐small cell lung cancer patients. Plasma was collected before and during treatment with the EGFR‐tyrosine kinase inhibitor osimertinib. Plasma eccDNA was detected in all cancer samples, and the presence of the EGFR gene on eccDNA serves as a potential biomarker ...
Simone Stensgaard +5 more
wiley +1 more source
Subgroup and outlier detection analysis [PDF]
BMC Bioinformatics, 2013 Background High-dimensional biological data presents the opportunity to discover novel forms of biological heterogeneity, such as overexpression or suppression of expression of a particular gene in a subset of a cohort. This novel biological heterogeneity appears in the data as outliers or distinct subgroups.
Wu, Gang +5 more
openaire +1 more source
Molecular Oncology, EarlyView.Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
E-Jurnal Matematika, 2014 Multiple linear regression analysis with a lot of independent variable always makes many problems because there is a relationship between two or more independent variables.
NI WAYAN YULIANI +2 more
doaj +1 more source
Outlier Denoising Using a Novel Statistics-Based Mask Strategy for Compressive Sensing
Remote Sensing, 2023 Denoising is always an important step in seismic processing, in order to produce high-quality data for subsequent imaging and inversion. Different types of noise can be suppressed using targeted denoising methods.
Weiqi Wang +4 more
doaj +1 more source
Outlier-resilient complexity analysis of heartbeat dynamics [PDF]
Scientific Reports, 2015 AbstractComplexity in physiological outputs is believed to be a hallmark of healthy physiological control. How to accurately quantify the degree of complexity in physiological signals with outliers remains a major barrier for translating this novel concept of nonlinear dynamic theory to clinical practice.
Lo, Men-Tzung +7 more
openaire +3 more sources
Analytical Chemistry, 2016 Isotopic ratio outlier analysis (IROA) is a (13)C metabolomics profiling method that eliminates sample to sample variance, discriminates against noise and artifacts, and improves identification of compounds, previously done with accurate mass liquid ...
Yunping Qiu +7 more
semanticscholar +1 more source
Journal of Physics: Conference Series, 2020 The outlier is an observation data that has different characteristics from others. Frequently, outliers are removed to improve the accuracy of the estimators.
U. Mukhaiyar +3 more
semanticscholar +1 more source
A method for outlier detection based on cluster analysis and visual expert criteria [PDF]
Expert Syst. J. Knowl. Eng., 2019 Outlier detection is an important problem occurring in a wide range of areas. Outliers are the outcome of fraudulent behaviour, mechanical faults, human error, or simply natural deviations.
J. Lara +3 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source