Results 61 to 70 of about 701,217 (307)

Exponentiated Generalized Weibull Exponential Distribution: Properties, Estimation and Applications

Computational Journal of Mathematical and Statistical Sciences
Real-life sciences rely heavily on statistical modeling because new applications and phenomena pop up constantly, increasing the demand for new distributions.
Anuwoje Ida L. Abonongo, John Abonongo
doaj   +1 more source

Dosimetric accuracy of tomotherapy dose calculation in thorax lesions

Radiation Oncology, 2011
Background To analyse limits and capabilities in dose calculation of collapsed-cone-convolution (CCC) algorithm implemented in helical tomotherapy (HT) treatment planning system for thorax lesions.
Mangili Paola, Cattaneo Giovanni, Broggi Sara, Ardu Veronica, Calandrino Riccardo   +4 more
doaj   +1 more source

An empirical study of PLAD regression using the bootstrap [PDF]

, 2018
Partial LAD regression uses the L 1 norm associated with least absolute deviations (LAD) regression while retaining the same algorithmic structure of univariate partial least squares (PLS) regression.
Kondylis, Athanassios, Whittaker, Joe
core  

New Benchmark Set of Transition-Metal Coordination Reactions for the Assessment of Density Functionals [PDF]

, 2014
We present the WCCR10 data set of ten ligand dissociation energies of large cationic transition metal complexes for the assessment of approximate exchange--correlation functionals.
Chen, Peter, Couzijn, Erik P. A., Reiher, Markus, Weymuth, Thomas   +3 more
core   +1 more source

Crucial parameters for precise copy number variation detection in formalin‐fixed paraffin‐embedded solid cancer samples

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, Vasiliki Siozopoulou, Léon C van Kempen, Anne Sieben, Ella Roelant, Stig Hellemans, Elyne Backx, Laure Sorber, Koen De Winne, Senada Koljenović, Karen Zwaenepoel   +10 more
wiley   +1 more source

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

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, Morten Tulstrup, Gabriele Todisco, Pedro Moura, Christophe Côme, Jakob Werner Hansen, Jakob Schmidt Jespersen, Balthasar Schlotmann, Maria Creignou, Mette Dahl, Claudia Schöllkopf, Klas Raaschou‐Jensen, Krister Wennerberg, Bo Porse, Joachim Weischenfeldt, Eva Hellström‐Lindberg, Lasse Sommer Kristensen, Kirsten Grønbæk   +17 more
wiley   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

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

Least squares and shrinkage estimation under bimonotonicity constraints [PDF]

, 2018
In this paper we describe active set type algorithms for minimization of a smooth function under general order constraints, an important case being functions on the set of bimonotone r×s matrices. These algorithms can be used, for instance, to estimate a
Beran, Rudolf, Dümbgen, Lutz
core  

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, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Validating Variational Bayes Linear Regression Method With Multi-Central Datasets. [PDF]

, 2018
PurposeTo validate the prediction accuracy of variational Bayes linear regression (VBLR) with two datasets external to the training dataset.MethodThe training dataset consisted of 7268 eyes of 4278 subjects from the University of Tokyo Hospital.
Asaoka, Ryo, Fujino, Yuri, Hirasawa, Kazunori, Kashiwagi, Kenji, Matsuura, Masato, Miki, Atsuya, Mizoue, Shiro, Mori, Kazuhiko, Murata, Hiroshi, Shoji, Nobuyuki, Suzuki, Katsuyoshi, Tanito, Masaki, Yamashita, Takehiro, Zangwill, Linda M   +13 more
core   +1 more source