Results 111 to 120 of about 549,710 (321)
Future telescopes will survey temperate, terrestrial exoplanets to estimate the frequency of habitable ( η _Hab ) or inhabited ( η _Life ) planets.
Daniel Angerhausen +4 more
doaj +1 more source
Robust Bayesian inference in elliptical regression models [PDF]
Bayesian ...
Osiewalski, J., Steel, M.F.J.
core +1 more source
Seasonal cold adaptation is vital for insect survival, yet the molecular mechanisms linking diapause to mitochondrial resilience remain largely unresolved. We identify ascaroside C9 (asc‐C9) as a key endocrine signal that enhances diapause survival during cold stress by activating the AKHR–PGC1α–UCP4 axis, thereby driving cold‐induced lipolysis and ...
Jiao Zhou +14 more
wiley +1 more source
Traditional methods for determining the radius of a 1.4 M _⊙ neutron star ( R _1.4 ) rely on specific equation-of-state (EOS) models that describe various types of dense nuclear matter.
Chun Huang
doaj +1 more source
Bayesian approach to extreme-value statistics based on conditional maximum-entropy method [PDF]
Recently, the conditional maximum-entropy method (abbreviated as C-MaxEnt) has been proposed for selecting priors in Bayesian statistics in a very simple way. Here, it is examined for extreme-value statistics. For the Weibull type as an explicit example,
Abe, Sumiyoshi
core +1 more source
Bayesian Genome-wide TWAS method to leverage both cis- and trans- eQTL information through summary statistics [PDF]
Justin M. Luningham +6 more
openalex +1 more source
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi +5 more
wiley +1 more source
Bayesian Statistics Improves Biological Interpretability of Metabolomics Data from Human Cohorts. [PDF]
Brydges C, Che X, Lipkin WI, Fiehn O.
europepmc +1 more source
Estimating maternal mortality using data from national civil registration vital statistics systems: A Bayesian hierarchical bivariate random walk model to estimate sensitivity and specificity of reporting [PDF]
Emily Peterson +5 more
openalex +1 more source
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen +7 more
wiley +1 more source

