Results 161 to 170 of about 34,370,538 (356)
Molecular Oncology, EarlyView.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
Molecular Oncology, EarlyView.Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park +6 more
wiley +1 more source
Building a Near-infrared (NIR) Soil Spectral Dataset and Predictive Machine Learning Models using a Handheld NIR Spectrophotometer [PDF]
This near-infrared spectral dataset consists of 2,106 diverse mineral soil samples scanned, on average, on six different units of the same low-cost commercially available handheld spectrophotometer.
Murad, M. O. F. +15 more
core +1 more source
Molecular Oncology, EarlyView.LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang +9 more
wiley +1 more source
Local Cross-validation for Spectrum Bandwidth Choice [PDF]
, 2000 We investigate an automatic method of determining a local bandwidth for non-parametric kernel spectral density estimates at a single frequency. This procedure is a modification of a cross-validation technique for global bandwidth choices, avoiding the ...
Velasco Gómez, Carlos, Velasco, Carlos
core +1 more source
Latent Spectral Space Diffusion Models for Spatio-Temporal Predictive Learning
IEEE AccessSpatio-temporal forecasting is a critical challenge in various domains such as weather prediction, traffic flow analysis, and environmental monitoring, where understanding both spatial and temporal dependencies is key to accurate predictions.
Ming Zhang, Jie Wang, Qiao Liang
doaj +1 more source
Spectral Analysis for Economic Time Series [PDF]
The last ten years have witnessed an increasing interest of the econometrics community in spectral theory. In fact, decomposing the series evolution in periodic contributions allows a more insightful view of its structure and on its cyclical behavior at ...
Alessandra Iacobucci
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The Study of Oil Film Thickness Measurement on Water Surface Based on Laser Raman Spectroscopy
, 2018 In order to realize the fast and non-contact detection of oil film thickness on water surface, a system based on laser Raman spectroscopy technologywas introduced in this paper. The 532 nm laser was used as the exciting source, and the result shows there
Feng Wei-wei +2 more
core +1 more source
The VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer
Molecular Oncology, EarlyView.Mutations, environmental stress, and chaperone dysfunction can destabilize pVHL, promoting its conversion from the native folded state into amyloid‐like assemblies. This transition may contribute to protein storage, cell dormancy, survival, and drug resistance.
Lara Abad +2 more
wiley +1 more source
Abstract Signal Processing] (]]]])]]]–]]]
, 2005 In this paper, we develop and evaluate speech enhancement algorithms, which are based on supergaussian generalized autoregressive conditional heteroscedasticity (GARCH) models in the short-time Fourier transform (STFT) domain. We consider three different
Speech Spectral Modeling
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