Results 121 to 130 of about 161,037 (263)
As a pilot phase of the Central Asian Genomic Diversity Project, whole‐genome sequencing of 166 individuals from 20 Central Asian and Afghan Hazara populations reveals fine‐scale substructure shaped by repeated trans‐Eurasian migration and admixture. Integrated analyses uncover post‐admixture adaptation, archaic introgression, and medically relevant ...
Mengge Wang +11 more
wiley +1 more source
Large‐scale UK Biobank analyses identify clinical and proteomic signatures for early prediction of valvular heart disease and its subtypes. Proteins add predictive value for VHD, AVS, and MVR, with outcome‐specific compact panels showing translational potential. Multi‐layer evidence highlights matrix remodeling, protease regulation, immune inflammation,
Zhihao Jiang +10 more
wiley +1 more source
Studying missingness in spinal cord injury data: challenges and impact of data imputation
Background In the last decades, medical research fields studying rare conditions such as spinal cord injury (SCI) have made extensive efforts to collect large-scale data. However, most analysis methods rely on complete data.
Lucie Bourguignon +7 more
doaj +1 more source
Efficient technique of microarray missing data imputation using clustering and weighted nearest neighbour. [PDF]
Dubey A, Rasool A.
europepmc +1 more source
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source
Evaluation of different approaches for missing data imputation on features associated to genomic data. [PDF]
Petrazzini BO +5 more
europepmc +1 more source
Depression is increasingly recognized as a risk factor for chronic diseases, yet its biological impact on cancer remains unclear. Using data from more than 490 000 participants across three international cohorts, we show that depression significantly increases the risk of liver cancer.
Ruijiang Zeng +10 more
wiley +1 more source
A multi‐omics framework combining multitissue genome‐wide association studies, metabolomics, transcriptomics, proteomics, and functional validation uncovers the genetic basis of specialized metabolism in quinoa. The study identifies hundreds of metabolite‐associated loci, prioritizes candidate genes for saponin, betalain, and flavonoid biosynthesis ...
Julia von Steimker +11 more
wiley +1 more source
The Optimal Machine Learning-Based Missing Data Imputation for the Cox Proportional Hazard Model. [PDF]
Guo CY, Yang YC, Chen YH.
europepmc +1 more source
Herein we report a boron‐based pyrazole, (Borsantrazole ‐ a small molecule that selectively targets oxidative stress) that significantly increases survival, reduces weight loss, delays disease onset, and affects global protein changes in the SOD1‐G37R mouse model of ALS.
Nitesh Sanghai +9 more
wiley +1 more source

