Results 61 to 70 of about 5,821,567 (279)
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
ANALISIS PERFORMANSI SUPPORT VECTOR REGRESSION DALAM MEMPREDIKSI BONUS TAHUNAN KARYAWAN
Penelitian ini mengaplikasikan support vector regression (SVR) untuk meramalkan bonus tahunan karyawan berdasarkan hasil pengukuran kinerjanya.. Setelah dilakukan running dengan SVR,yang memberikan nilai kesalahan terkecil baik mean square error maupun ...
Diana Puspita Sari
doaj +1 more source
Mean metrics values—Mean squared error (MSE), mean absolute error (MAE) and coefficient of determination (R2) for individual models sorted by validation MSE.
Tomasz Gutowski (17200042) +2 more
core +1 more source
Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola +11 more
wiley +1 more source
Mean metrics values—Mean squared error (MSE), mean absolute error (MAE) and coefficient of determination (R2) for history models sorted by MSE in validation set.
Tomasz Gutowski (17200042) +2 more
core +1 more source
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller +10 more
wiley +1 more source
A comparison with the error magnitudes found in this study and the available relevant literature, ME: Mean Error, MAE: Mean Absolute Error.
Zohaib Aftab (3180372) +1 more
core +1 more source
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source
Mean Absolute Percentage Error for Regression Models
We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We prove the existence of an optimal MAPE model and we show the universal consistency of Empirical Risk Minimization
Bénédicte Le Grand +3 more
core
Mean absolute percent error (± SD) of the activities undertaken.
Mean absolute percent error (± SD) of the activities undertaken.
Enhad A. Chowdhury (3778609) +4 more
core +1 more source

