Charumathi Sabanayagam, Feng He ... Ching Yu Cheng
Integrating machine learning (ML) models with selected features improved the prediction accuracy of diabetic kidney disease compared to traditional logistic regression models using established features, revealing potential new markers and supporting the use of ML techniques in epidemiological studies.
Metabolomic analyses indicate that diet generalism may stem from a neutral metabolic response to different chemistries, rather than from an accumulation of specific adaptations.
The regulatory role of thousands of upstream open-reading frames were measured and used to determine the relative influences of sequence, structural, and positional features on translation regulation and nonsense-mediated decay.
Under fluid shear, living cells deform elliptically, align in flow direction, and rotate, from which their frequency-dependent viscoelastic properties can be inferred.
Elizabeth H Aitken, Timon Damelang ... Stephen J Rogerson
Machine learning identified six protective antibody features and showed for the first time that serological markers can predict protection from placental-malaria, which is important for evaluation and development of vaccines.
Daniel W Belsky, Avshalom Caspi ... Terrie E Moffitt
DunedinPACE is a novel DNA methylation biomarker of the pace of biological aging for intervention trials and natural experiment studies investigating how the rate of aging may be changed by behavioral or drug therapy, or by environmental modification.
Calculations of flagellar energetics from beating patterns in sperm reveal that internal dissipation by dynein motors and other passive structures within the flagellum significantly exceeds external hydrodynamic dissipation.
Kaushik Renganaath, Rockie Chong ... Frank W Albert
Yeast promoters can harbor multiple natural DNA variants that influence gene expression, interact genetically, evolve under negative selection, alter transcription factor motifs, and remain challenging to predict.
Daniel W Belsky, Avshalom Caspi ... Terrie E Moffitt
Methylation pace of aging is a novel measure requiring only a blood sample that clinical-trial and observational studies can use to test if treatments modify how fast participants are aging.