Results 51 to 60 of about 449,466 (261)
Mean Absolute Deviations about the Mean, the Cut Norm and Taxicab Correspondence Analysis
Open Journal of Statistics, 2020 Optimization has two faces, minimization of a loss function or maximization of a gain function. We show that the mean absolute deviations about the mean, d, maximizes a gain function based on the power set of the individuals, and it is equal to twice the value of its cut-norm.
Vartan, Choulakian, Ghassan, Abou Samra
openaire +3 more sources
Molecular Oncology, EarlyView.This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris +10 more
wiley +1 more source
Growth models for morphological traits of sunn hemp
Semina: Ciências Agrárias, 2017 The objective of the present study was to fit Gompertz and Logistic nonlinear to descriptions of morphological traits of sunn hemp. Two uniformity trials were conducted and the crops received identical treatment in all experimental area.
Cláudia Marques de Bem +6 more
doaj +1 more source
Jackknife empirical likelihood inference for the mean absolute deviation [PDF]
Computational Statistics & Data Analysis, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhao, Yichuan +2 more
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Molecular Oncology, EarlyView.In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge +17 more
wiley +1 more source
Bias-Reduced Estimation of Mean Absolute Deviation Around the Median
SSRN Electronic Journal, 2022 5 pages, 4 figures, submitted to Statistics & Probability ...
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Molecular Oncology, EarlyView.To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
THE COMPARATIVE RISK ANALYSIS OF SMALL AND MEDIUM ENTERPRISES [PDF]
Annals of the University of Oradea: Economic Science, 2017 This paper is dealing with the comparative analysis of corporate risk by applying of different risk quantifying methods used both in national and international literature.
Edina Kulcsar
doaj
Molecular Oncology, EarlyView.Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source