Results 191 to 200 of about 2,047,036 (332)

Classification of asbestos and their nonasbestiform analogues using FTIR and multivariate data analysis. [PDF]

J Hazard Mater
Lee T, Mischler SE, Wolfe C.
europepmc   +1 more source

Innovative Combination of Dispersive Solid Phase Extraction Followed by NIR-Detection and Multivariate Data Analysis for Prediction of Total Polyphenolic Content. [PDF]

Molecules, 2021
Kappacher C, Neurauter M, Rainer M, Bonn GK, Huck CW.   +4 more
europepmc   +1 more source

Thyroid Hormone Receptor β1 and PGC1α Coordinately Regulate OPA1/MFN2‐Mediated Mitochondrial Fusion and UCP1‐Mediated Lipid Browning in ccRCC

Advanced Science, EarlyView.
Thyroid hormone receptor β1 (TRβ) downregulation correlates with poor prognosis in clear cell renal cell carcinoma (ccRCC). Restoration of TRβ and the peroxisome proliferator‐activated receptor gamma coactivator 1‐alpha suppresses tumor progression in ccRCC through Uncoupling protein 1 mediated tumor cell “slimming” and optic atrophy 1/mitofusin 2 ...
Xiangui Meng, Tiexi Yu, Fang Lv, Weiquan Li, Hongmei Yang, Xiaoping Zhang, Wen Xiao   +6 more
wiley   +1 more source

An Integrated NMR, LC-DAD-MS, LC-QTOF Metabolomic Characterization of Sartoria hedysaroides: Correlation of Antioxidant and Enzyme Inhibitory Activity with Chemical Composition by Multivariate Data Analysis. [PDF]

Antioxidants (Basel), 2022
Dall'Acqua S, Sut S, Sinan KI, Zengin G, Ferrarese I, Peron G, Yildiztugay E, Picot-Allain C, Mahomoodally MF.   +8 more
europepmc   +1 more source

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

Advanced Science, EarlyView.
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng, Xin Qin, Jiahao Zhang, Wuliang Huang, Yiyang Zhang, Wentao Cui, Yao Chen, Shirui Li, Wenhao Liu, Yao Tian, Yana Liu, Jingxi Dong, Ping Xu, Zhenpeng Man, Guole Liu, Zhongming Liang, Xinlong Jiang, Xiaodong Yang, Pengfei Wang, Ge Yang, Hongmei Wang, Xuezhi Wang, Ming‐Han Tong, Yuanchun Zhou, Shihua Zhang, Yiqiang Chen, Yong Wang, Xin Li   +27 more
wiley   +1 more source

Prediction of Deoxynivalenol Contamination in Wheat via Infrared Attenuated Total Reflection Spectroscopy and Multivariate Data Analysis. [PDF]

ACS Food Sci Technol
Fomina P, Femenias A, Tafintseva V, Freitag S, Sulyok M, Aledda M, Kohler A, Krska R, Mizaikoff B.   +8 more
europepmc   +1 more source

Unveiling Global Diversity of Patescibacteriota and Functional Interactions with Host Microbes

Advanced Science, EarlyView.
Patescibacteriota represents a diverse group of ultra‐small epibiotic bacteria, which is largely overlooked. By integrating ribosomal protein S3‐based community profiling with MAG‐based metabolic potential analyses, this study provides new insights into their distribution, diversity, and potential interactions with other bacteria across diverse ...
Yanhan Ji, Xu Liu, Shuai Zhao, Sihan Zhou, Yufan Yang, Ping Zhang, Yu Shi, Wei Qin, Guibing Zhu, Yongguan Zhu, Yanzheng Gao, Jiandong Jiang, Baozhan Wang   +12 more
wiley   +1 more source

Quantification and Classification of Diclofenac Sodium Content in Dispersed Commercially Available Tablets by Attenuated Total Reflection Infrared Spectroscopy and Multivariate Data Analysis. [PDF]

Pharmaceuticals (Basel), 2021
Siozou E, Sakkas V, Kourkoumelis N.
europepmc   +1 more source

Dynamic analysis of multivariate panel data [PDF]

, 1997
Bijleveld, C.C.J.H., Montfort, C.A.G.M. van   +1 more
core   +1 more source

Predicting MammaPrint Recurrence Risk from Breast Cancer Pathological Images Using a Weakly Supervised Transformer

Advanced Science, EarlyView.
This study presents CPMP, a weakly supervised transformer model that predicts MammaPrint recurrence risk directly from routine histopathological images of early‐stage HR+/HER2− breast cancer patients. CPMP enables spatial heatmap visualization, analysis of cellular‐level interaction patterns, and an in‐depth characterization of morphological phenotypes
Chaoyang Yan, Linwei Li, Xiaolong Qian, Yang Ou, Zhidong Huang, Zhihan Ruan, Wenting Xiang, Hong Liu, Jian Liu   +8 more
wiley   +1 more source