Results 31 to 40 of about 190,177 (262)

Outliers in Survival Analysis

open access: yesAlphanumeric 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
openaire   +3 more sources

Structural and biochemical analysis of a B12 superbinder

open access: yesFEBS Letters, EarlyView.
BtuG proteins are vitamin B12 scavengers in Bacteroides thetaiotaomicron, a dominant human gut bacterium. We present crystal structures of three BtuG homologs bound to cobalamin and its precursor cobinamide, revealing picomolar binding affinities, among the highest known for any natural protein.
Jose M. Martinez Felices   +3 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]

open access: yesPLoS 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

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

open access: yesMolecular 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

PERBANDINGAN REGRESI KOMPONEN UTAMA DAN ROBPCA DALAM MENGATASI MULTIKOLINEARITAS DAN PENCILAN PADA REGRESI LINEAR BERGANDA

open access: yesE-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

open access: yesRemote 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

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

open access: yesMolecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso   +5 more
wiley   +1 more source

Outlier Detection and Explanation Method Based on FOLOF Algorithm

open access: yesEntropy
Outlier 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

Mining Outlier Data in Mobile Internet-Based Large Real-Time Databases

open access: yesComplexity, 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
doaj   +1 more source

Comparative study on multivariate outlier detection methods in sesame (Sesamum indicum L.)

open access: yesElectronic 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
doaj   +1 more source

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