Results 241 to 250 of about 10,735,998 (316)

A Junction Temperature Prediction Method Based on Multivariate Linear Regression Using Current Fall Characteristics of SiC MOSFETs. [PDF]

Sensors (Basel)
Qin H, Zhang Y, Zeng Y, Kang Y, Zhu Z, Wu F.   +5 more
europepmc   +1 more source

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu, Xin Duan, Fatemeh Peymani, Jia Wang, Chengjia Bao, Chaolong Xu, Ying Zou, Zixuan Zhang, Yunxi Zhang, Tongyue Li, Martin Pavlov, Junling Wang, Minhan Song, Tianyu Song, Xiaodi Han, Mingxi Sun, Danmin Shen, Ruoyu Duan, Huafang Jiang, Manting Xu, Holger Prokisch, Fang Fang   +21 more
wiley   +1 more source

Prevalence of autoimmune diseases is strongly associated with average annual temperatures: systematic review and linear regression analysis. [PDF]

BMC Rheumatol
Voskarides K, Philippou S, Hamam M, Parperis K.   +3 more
europepmc   +1 more source

Prediction of Rice Plant Height Using Linear Regression Model by Pyramiding Plant Height-Related Alleles. [PDF]

Int J Mol Sci
Huang Y, Xie Z, Chen D, Chen H, Zeng Y, Dai S.   +5 more
europepmc   +1 more source

Integrated approach of extreme learning machines and locally weighted linear regression for improved discharge coefficient prediction. [PDF]

Sci Rep
Hameed MM, Alomar MK, Razali SFM, Salem A.   +3 more
europepmc   +1 more source

To interact or not to interact: The pros and cons of including interactions in linear regression models. [PDF]

Behav Res Methods
Rimpler A, Kiers HAL, van Ravenzwaaij D.
europepmc   +1 more source

Combined analysis of multiple linear regression and principal components for predicting performance indicators in broiler chickens under commercial conditions. [PDF]

Poult Sci
Freitas RC, Calderano AA, Oliveira CH, Neto MG, Genova JL.   +4 more
europepmc   +1 more source

Deconfounded and debiased estimation for high-dimensional linear regression under hidden confounding with application to omics data. [PDF]

Bioinformatics
Li Z, Liu Y, Wei K, Yu Y, Qin G, Zhu Z.
europepmc   +1 more source