Results 111 to 120 of about 113,610 (277)
Radioresistance severely limits the efficacy of therapies for small cell lung cancer (SCLC). This study reveals a novel mechanism of resistance driven by the active suppression of pyroptosis. Specifically, the mTORC2 complex directly phosphorylates GSDME‐N and promotes its CUL4B‐mediated ubiquitination and proteasomal degradation.
Qing‐qing Xu +11 more
wiley +1 more source
Multivariate Hypothesis Testing and Applications of Discriminant Analysis
Analyzing large data sets is often time-consuming as many data sets depend on many variables, and multiple methods of analyzing such data sets are explored.
Strand, Katelin Lea
core
This study applied AI to quantify multidimensional body composition from CT images in gastric cancer and healthy controls. Distinct sex‐specific patterns and disease‐related alterations were identified and were associated with survival. Higher muscle and fat measures were linked to improved outcomes.
Tianxiang Li +13 more
wiley +1 more source
Multivariate L1 Statistical Methods: The Package MNM
In the paper we present an R package MNM dedicated to multivariate data analysis based on the L_1 norm. The analysis proceeds very much as does a traditional multivariate analysis. The regular L_2 norm is just replaced by different L_1 norms, observation
Klaus Nordhausen, Hannu Oja
core +1 more source
PDIA6–SCD1 Axis Rewires Lipid Metabolism to Drive Gastric Cancer Progression
Protein disulfide isomerase A6 (PDIA6) is identified as an oncogenic driver in gastric cancer. PDIA6 directly binds and stabilizes SCD1 by limiting its ubiquitin–proteasome‐mediated degradation, thereby sustaining monounsaturated fatty acid (MUFA)‐enriched lipid homeostasis and lipid metabolic reprogramming.
Zhen Tian +13 more
wiley +1 more source
Testing for the Null Hypothesis of Cointegration with Structural Breaks (Subsequently published in "Econometric Reviews", Volume 26, Issue 6 November 2007, pages 705 - 739. ) [PDF]
In this paper we propose residual-based tests for the null hypothesis of cointegration with structural breaks against the alternative of no cointegration.
Eiji Kurozumi, Yoichi Arai
core
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee +9 more
wiley +1 more source
THE RELATIONSHIP BETWEEN EXPORTS AND ECONOMIC GROWTH IN EAST ASIAN COUNTRIES: A MULTIVARIATE THRESHOLD AUTOREGRESSIVE APPROACH [PDF]
During the process of economic development, different economic policies are adopted in accordance with particular circumstances. Therefore, conventional methods of time-series analysis may give misleading results if the problems associated with regime ...
Chien-Hui Lee, Bwo-Nung Huang
core
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li +6 more
wiley +1 more source
This study aimed to analyze the explanatory power of EVA® and others traditional accounting indicators, assessing which of these measures is more related to the creation of shareholder wealth. Therefore, we analyzed 748 firms-years between 2005 and 2010.
Luiz Felipe de Araújo Pontes Girão +2 more
doaj

