Results 81 to 90 of about 3,042,026 (332)

Investigating sensitivity, specificity, and area under the curve of the Clinical COPD Questionnaire, COPD Assessment Test, and Modified Medical Research Council scale according to GOLD using St George's Respiratory Questionnaire cutoff 25 (and 20) as reference

International Journal of COPD, 2016
Ioanna G Tsiligianni,1,2 Harma J Alma,1,2 Corina de Jong,1,2 Danijel Jelusic,3 Michael Wittmann,3 Michael Schuler,4 Konrad Schultz,3 Boudewijn J Kollen,1 Thys van der Molen,1,2 Janwillem WH Kocks1,2 1Department of General Practice, 2GRIAC Research ...
Tsiligianni IG, Alma HJ, de Jong C, Jelusic D, Wittmann M, Schuler M, Schultz K, Kollen BJ, van der Molen T, Kocks JWH   +9 more
doaj  

Receiver Operating Characteristic Prediction for Classification: Performances in Cross-Validation by Example

Mathematics, 2020
The stability of receiver operating characteristic in context of random split used in development and validation sets, as compared to the full models for three inflammatory ratios (neutrophil-to-lymphocyte (NLR), derived neutrophil-to-lymphocyte (dNLR ...
Andra Ciocan, Nadim Al Hajjar, Florin Graur, Valentin C. Oprea, Răzvan A. Ciocan, Sorana D. Bolboacă   +5 more
doaj   +1 more source

YAP1::TFE3 mediates endothelial‐to‐mesenchymal plasticity in epithelioid hemangioendothelioma

Molecular Oncology, EarlyView.
The YAP1::TFE3 fusion protein drives endothelial‐to‐mesenchymal transition (EndMT) plasticity, resulting in the loss of endothelial characteristics and gain of mesenchymal‐like properties, including resistance to anoikis, increased migratory capacity, and loss of contact growth inhibition in endothelial cells.
Ant Murphy, Samuel Hartzler, Paula A. Vargas Carranza, Shyaman Jayasundara, Madison E. Yates, Nimod D. Janson, Bozhi Liu, Annaleigh Benton, Majid Kazemian, Jason A. Hanna   +9 more
wiley   +1 more source

On the optimism correction of the area under the receiver operating characteristic curve in logistic prediction models [PDF]

, 2019
When the same data are used to fit a model and estimate its predictive performance, this estimate may be optimistic, and its correction is required. The aim of this work is to compare the behaviour of different methods proposed in the literature when ...
Barrio, Irantzu, Iparragirre, Amaia, Rodríguez-Álvarez, María Xosé   +2 more
core  

Emerging role of ARHGAP29 in melanoma cell phenotype switching

Molecular Oncology, EarlyView.
This study gives first insights into the role of ARHGAP29 in malignant melanoma. ARHGAP29 was revealed to be connected to tumor cell plasticity, promoting a mesenchymal‐like, invasive phenotype and driving tumor progression. Further, it modulates cell spreading by influencing RhoA/ROCK signaling and affects SMAD2 activity. Rho GTPase‐activating protein
Beatrice Charlotte Tröster, Melanie Kappelmann‐Fenzl, Anja Katrin Bosserhoff, Nicole Rachinger   +3 more
wiley   +1 more source

Combining Predictors for Classification using the Area Under the ROC Curve [PDF]

, 2005
No single biomarker for cancer is considered adequately sensitive and specific for cancer screening. It is expected that the results of multiple markers will need to be combined in order to yield adequately accurate classification.
Cai, Tianxi, Longton, Gary M., Pepe, Margaret S., Zhang, Zheng   +3 more
core   +1 more source

Gut microbiota diversity is prognostic in metastatic hormone receptor‐positive breast cancer patients receiving chemotherapy and immunotherapy

Molecular Oncology, EarlyView.
In this exploratory study, we investigated the relationship between the gut microbiota and outcome in patients with metastatic hormone receptor‐positive breast cancer, treated in a randomized clinical trial with chemotherapy alone or chemotherapy in combination with immune checkpoint blockade.
Andreas Ullern, Kristian Holm, Nikolai Kragøe Andresen, Andreas Hagen Røssevold, Corinna Bang, Bjørn Naume, Johannes R. Hov, Jon Amund Kyte   +7 more
wiley   +1 more source

Empirical Likelihood Inference for Area under the ROC Curve using Ranked Set Samples [PDF]

, 2020
Chul Moon, Xinlei Wang, Johan Lim
openalex   +1 more source

Robust and Accurate Doublet Detection of Single-Cell Sequencing Data via Maximizing Area Under Precision-Recall Curve [PDF]

, 2023
Yanshuo Chen, Xidong Wu, Ke Ni, Haoran Hu, Molin Yue, Wei Chen, Heng Huang   +6 more
openalex   +1 more source

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

Molecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici, Soheil Akbari, Ceyda Caliskan, Canan Celiker, Ozden Oz, Leman Binokay, Gökhan Karakulah, Serif Senturk, Esra Erdal   +8 more
wiley   +1 more source