Results 91 to 100 of about 263,469 (298)

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

Matrix linear minimax estimators in a general multivariate linear model under a balanced loss function

open access: yes, 2012
This article investigates the minimaxity of matrix linear estimators of regression coefficient matrix in a general multivariate linear model with a nonnegative definite covariance matrix allowing for relations between the covariance matrix and the design
Peng, Ping, Hu, Guikai
core   +1 more source

Adaptive Focal Loss for Keypoint-Based Deep Learning Detectors Addressing Class Imbalance

open access: yesIEEE Access
Keypoint-based deep learning detectors have proven highly effective in object detection tasks by predicting specific keypoints to determine object classification and location.
Zhihao Su   +2 more
doaj   +1 more source

Hippo pathway at the crossroads of stemness and therapeutic resistance in breast cancer

open access: yesMolecular Oncology, EarlyView.
Dysregulation of the Hippo pathway drives nuclear accumulation of YAP/TAZ, activating stemness‐related transcriptional programs that sustain breast cancer stemness and fuel therapeutic resistance across subtypes, underscoring Hippo signaling as a targetable vulnerability. Figure created and edited with BioRender.com.
Giulia Schiavoni   +11 more
wiley   +1 more source

Estimation of the exponential mean time to failure under a weighted balanced loss function

open access: yes
Admissibility, Balanced loss function, Bayes estimtor, Blyth’s method, Inadmissibility,
A. Asgharzadeh, N. Sanjari Farsipour
core   +1 more source

E2A selectively regulates TGF‐β–induced apoptosis in KRAS‐mutant non‐small cell lung cancer

open access: yesMolecular Oncology, EarlyView.
Ability to induce apoptosis by TGF‐β is frequently lost in advanced lung adenocarcinoma despite intact TGF‐β signaling. We identify E2A as a mutant KRAS–dependent mediator of resistance to TGF‐β–induced apoptosis. TGF‐β induces E2A via SMAD3 in mutant KRAS cells, and E2A silencing restores apoptosis and enhances radiation response in cell lines ...
Sergei Chuikov   +3 more
wiley   +1 more source

Network traffic anomaly detection method based on multi-scale convolution and channel attention mechanism

open access: yesTongxin xuebao
Considering the problems of traditional detection methods limited by weak model representation capabilities and vulnerability to data class imbalance, a network traffic anomaly detection method integrating multi-scale convolution and a channel attention ...
Fu Yu   +4 more
doaj  

Interaction of HS1BP3 with cortactin modulates TKS5 localisation, cell secretion and cancer malignancy

open access: yesMolecular Oncology, EarlyView.
Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen   +9 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

Least squares estimators in measurement error models under the balanced loss function

open access: yes
Balanced loss function, direct and reverse regression, ineasurement errors, ultrastructural model, 62J05,
Shalabh
core   +1 more source

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