Results 191 to 200 of about 1,045,644 (311)

Inhibition of RNase to Attenuate Fungal‐Manipulated Rhizosphere Microbiome and Diseases

Advanced Science, EarlyView.
Fusarium graminearum uses its virulence effector Fg12, a fungal RNase, to manipulate the host rhizosphere microbiome and promote infection. Guanosine monophosphate (GMP) blocks Fg12's RNase activity. This reveals a key pathogen‐microbiota interaction mechanism and proposes GMP as a targeted strategy to disarm this core fungal effector, offering a ...
Bo Yang, Sen Yang, Xiaomi Wang, Yuanwei Zhang, Yao Zhao, Menghuan Tao, Jinyi Zhu, Wanxin Zhang, Yansu Wang, Kaixuan Duan, Yan Wang, Wenwu Ye, Zhenfei Guo, Yuanchao Wang   +13 more
wiley   +1 more source

Asymptotic behavior of the maximum of multivariate order statistics in a norm sense [PDF]

, 2020
H. M. Barakat, E. M. Nigm, M. H. Harpy
openalex   +1 more source

Characterization of carotenoids and flavonoids in Yangxian pigmented rice varieties through LC‒MS/MS-based targeted metabolomics and multivariate statistics. [PDF]

Curr Res Food Sci
He J, Cheng K, Yang Z, Geng J, Jin W, Abd El-Aty AM.   +5 more
europepmc   +1 more source

CellPhenoX: An Explainable Machine Learning Method for Identifying Cell Phenotypes To Predict Clinical Outcomes from Single‐Cell Multi‐Omics

Advanced Science, EarlyView.
CellPhenoX is an explainable machine learning framework that identifies cell‐specific phenotypes and interaction effects from single‐cell omics data. By leveraging interpretable models, it enables robust discovery of cell‐level phenotypes that contribute to clinical outcomes.
Jade Young, Jun Inamo, Zachary Caterer, Revanth Krishna, Fan Zhang   +4 more
wiley   +1 more source

Fermi GBM GRBs' multivariate statistics [PDF]

, 2018
I. I. Racz, L. G. Balázs, Z. Bagoly, I. Horváth, L. Viktor Tóth   +4 more
openalex   +1 more source

OSIRIS-REx spectral analysis of (101955) Bennu by multivariate statistics [PDF]

, 2020
M. A. Barucci, P. H. Hasselmann, A. Praet, M. Fulchignoni, J. D. P. Deshapriya, S. Fornasier, F. Merlin, B. E. Clark, Amy Simon, V. E. Hamilton, J. P. Emery, E. S. Howell, J. R. Brucato, E. A. Cloutis, Xiao‐Duan Zou, J.-Y. Li, Patrick Michel, Salvatore Ferrone, Giovanni Poggiali, Dennis C. Reuter, D. N. DellaGiustina, D. S. Lauretta   +21 more
openalex   +1 more source

HPTLC Combined with sHetCA and Multivariate Statistics for the Detection of Bioactive Compounds in Complex Mixtures. [PDF]

Molecules
Amountzias V, Gikas E, Aligiannis N.
europepmc   +1 more source

Sachet water quality and Vendors' practices in Damongo, northern Ghana during the emergence of SARS-CoV-2 using multivariate statistics, water quality and pollution indices, and panel assessment. [PDF]

Environ Chall (Amst), 2021
Amuah EEY, Bekoe EMO, Kazapoe RW, Dankwa P, Nandomah S, Douti NB, Abanyie SK, Okyere IK.   +7 more
europepmc   +1 more source

A Replicable and Generalizable Neuroimaging‐Based Indicator of Pain Sensitivity Across Individuals

Advanced Science, EarlyView.
Humans differ in their sensitivity to pain. With six large and diverse fMRI datasets (total N = 1046), this study finds that such individual differences in pain sensitivity can be tracked by fMRI responses to painful stimuli. A highly generalizable machine learning model is further built to predict pain sensitivity across all datasets and analgesic ...
Li‐Bo Zhang, Xue‐Jing Lu, Hui‐Juan Zhang, Zhao‐Xing Wei, Ya‐Zhuo Kong, Yi‐Heng Tu, Gian Domenico Iannetti, Li Hu   +7 more
wiley   +1 more source

Endogenous steroid profiling by gas chromatography-tandem mass spectrometry and multivariate statistics for the detection of natural hormone abuse in cattle

, 2012
Marco Blokland, E.F. Van Tricht, H.J. van Rossum, Saskia S. Sterk, Michel W. F. Nielen   +4 more
openalex   +2 more sources