Results 31 to 40 of about 180,123 (260)
Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Genetic Variation and Breeding Signature in Mass Selection Lines of the Pacific Oyster (Crassostrea gigas) Assessed by SNP Markers. [PDF]
PLoS ONE, 2016 In breeding industries, a challenging problem is how to keep genetic diversity over generations. To investigate genetic variation and identify breeding signatures in mass selected lines of Pacific oyster (Crassostrea gigas), three sixth-generation ...
Xiaoxiao Zhong +4 more
doaj +1 more source
Outlier Detection and Spatial Analysis Algorithms
CoRR, 2021 Outlier detection is a significant area in data mining. It can be either used to pre-process the data prior to an analysis or post the processing phase (before visualization) depending on the effectiveness of the outlier and its importance. Outlier detection extends to several fields such as detection of credit card fraud, network intrusions, machine ...
openaire +2 more sources
Molecular Oncology, EarlyView.Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park +6 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
Alphanumeric Journal, 2015 Yasam cozumlemesi, tanimlanan herhangi bir olayin ortaya cikmasina kadar gecen surenin incelenmesinde kullanilan istatistiksel yontemler butunudur. Yasam cozumlemesinde aykiri degerler klasik regresyonda kullanilan yontemlerden farkli yontemler kullanilarak hesaplanmaktadir. Yasam cozumlemesinde aykiri deger belirleme yontemleri artiklara ve artiklarin
KARASOY, Durdu, TUNCER, Nuray
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New models for describing outliers in meta‐analysis [PDF]
Research Synthesis Methods, 2015 An unobserved random effect is often used to describe the between‐study variation that is apparent in meta‐analysis datasets. A normally distributed random effect is conventionally used for this purpose. When outliers or other unusual estimates are included in the analysis, the use of alternative random effect distributions has previously been proposed.
Baker, RD, Jackson, D
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Molecular Oncology, EarlyView.Interferon type 1 (IFN‐1) production and signaling is associated with the acquisition of therapy resistance, following chronic DNA damage, via Interferon‐related DNA damage resistance signature (IRDS) gene expression. An alternative, DNA damage‐independent role of sustained IFN‐1 mediated resistance was identified and characterized by the emergence of ...
Ashlyn Conant +11 more
wiley +1 more source
Outlier Detection and Explanation Method Based on FOLOF Algorithm
EntropyOutlier mining constitutes an essential aspect of modern data analytics, focusing on the identification and interpretation of anomalous observations. Conventional density-based local outlier detection methodologies frequently exhibit limitations due to ...
Lei Bai, Jiasheng Wang, Yu Zhou
doaj +1 more source