Results 51 to 60 of about 12,224 (267)

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch   +13 more
wiley   +1 more source

Maximun entropy Leuven estimators and multicollinearity

open access: yesStatistica, 2007
A novel class of estimators, called maximum entropy Leuven (MEL) estimators, is presented and its performance is illustrated by Monte Carlo experiments. These estimators are inspired by the theory of light.
Quirino Paris
doaj   +1 more source

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

open access: yesMolecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera   +11 more
wiley   +1 more source

CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3

open access: yesMolecular Oncology, EarlyView.
PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh   +12 more
wiley   +1 more source

Discontinuous parameter estimates with least squares estimators

open access: yesApplied Mathematics and Computation, 2013
We discuss weighted least squares estimates of ill-conditioned linear inverse problems where weights are chosen to be inverse error covariance matrices. Least squares estimators are the maximum likelihood estimate for normally distributed data and parameters, but here we do not assume particular probability distributions.
openaire   +2 more sources

truncSP: An R Package for Estimation of Semi-Parametric Truncated Linear Regression Models

open access: yesJournal of Statistical Software, 2014
Problems with truncated data occur in many areas, complicating estimation and inference. Regarding linear regression models, the ordinary least squares estimator is inconsistent and biased for these types of data and is therefore unsuitable for use ...
Maria Karlsson, Anita Lindmark
doaj   +1 more source

ESR1 methylation and ESR1 mutations in circulating tumor cells (CTCs) and paired plasma‐cfDNA of advanced breast cancer patients: A feasibility proof‐of‐concept study

open access: yesMolecular Oncology, EarlyView.
Circulating tumor cells (CTCs) and plasma cell‐free DNA (cfDNA) were analyzed to detect ESR1 mutations and methylation in patients with advanced breast cancer. CTC‐derived DNA showed higher sensitivity for mutation detection and revealed complementary genetic and epigenetic alterations, highlighting the added value of CTC analysis for understanding ...
Dimitra Stergiopoulou   +12 more
wiley   +1 more source

Interpreting the effects of DNA polymerase variants at the structural level

open access: yesMolecular Oncology, EarlyView.
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi   +7 more
wiley   +1 more source

Universal Inadmissibility of Least Squares Estimator

open access: yesJournal of Multivariate Analysis, 2000
Let \(X\) be distributed according to a \(p\)-variate normal distribution with mean vector \(\theta\) and covariance matrix \(I\). To estimate \(\theta= (\theta_1,\dots, \theta_p)'\) the losses are taken to be \[ L([\sum_{i=1}^p q_i (\theta_i\cdot d_i)^2 ]^{1/2}),\quad \text{where} q_1\geq q_2\geq\dots\geq q_p> 0 \] are known and \(L(y)\) is a ...
Lu, Chang-Yu, Shi, Ning-Zhong
openaire   +2 more sources

Selecting Wavelengths for Least Squares Range Estimation [PDF]

open access: yesIEEE Transactions on Signal Processing, 2016
We consider the problem of estimating the distance, or range, between two locations by measuring the phase of multiple sinusoidal signals transmitted between the locations. Traditional estimators developed for optical interferometry include the beat wavelength and excess fractions methods.
Assad Akhlaq   +3 more
openaire   +2 more sources

Home - About - Disclaimer - Privacy