Results 131 to 140 of about 1,549,528 (298)
Computationally Evidence‐Grounded Sequence‐First Design of Peptide Binders
Advanced Science, EarlyView.BOND‐PEP enables controllable, sequence‐first peptide binder design by grounding generation in binding evidence retrieved for each target. It uses topology‐conditioned message passing to integrate relevant peptide examples with the target protein sequence, forming a residue‐level representation that guides the generation of diverse, target‐specific ...
Wenze Ding
wiley +1 more source
PLACING PROBABILITIES OF CONDITIONALS IN CONTEXT
The Review of Symbolic Logic, 2014 AbstractIn this paper I defend the tenability of the Thesis that the probability of a conditional equals the conditional probability of the consequent given the antecedent. This is done by adopting the view that the interpretation of a conditional may differ from context to context.
openaire +3 more sources
Corrigendum to: Estimating the burden of multiple endemic diseases and health conditions using Bayes' Theorem: A conditional probability model applied to UK dairy cattle [Prev. Vet. Med., vol. 203, June 2022, 105617]. [PDF]
Prev Vet Med, 2023 Rasmussen P +4 more
europepmc +1 more source
Advanced Science, EarlyView.A novel dual‐organelle proximity labeling platform, DuO‐SCOUT, decodes the complex landscape of systemic organ‐organ communication by capturing both classical and unconventional secretomes. Application in metabolic models maps the adipose‐to‐brain secretory relay, identifying selective extra‐hypothalamic sites for adipose‐derived factors and expanding ...
Fenglian Yang +7 more
wiley +1 more source
Conditional forecasts in dynamic multivariate models [PDF]
In the existing literature, conditional forecasts in the vector autoregressive (VAR) framework have not been commonly presented with probability distributions or error bands. This paper develops Bayesian methods for computing such distributions or bands.
Tao Zha, Daniel F. Waggoner
core
Estimating the conditional probability of developing human papilloma virus related oropharyngeal cancer by combining machine learning and inverse Bayesian modelling. [PDF]
PLoS Comput Biol, 2021 Tewari P +5 more
europepmc +1 more source
Multiphoton Quantum Reservoirs For Robust Multidimensional Computing
Advanced Science, EarlyView.Projective measurements reveal hidden multidimensional quantum networks within classical multiphoton fields, enabling robust quantum reservoirs for room‐temperature quantum simulation, prediction, and information processing. These networks transform noisy classical photonic platforms into scalable quantum computational architectures.
Mingyuan Hong +10 more
wiley +1 more source
, 2016 In elementary probability, the conditional probability of an event A given an event B is the ratio P(A ∩ B)/P(B), provided P(B)>0. Visualize the events as plane regions (rectangles here) and their probabilities as the areas of those regions.
Boucher, Chris
core +2 more sources
Advanced Science, EarlyView.MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo +6 more
wiley +1 more source
CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles [PDF]
Value at Risk has become the standard measure of market risk employed by financial institutions for both internal and regulatory purposes. Despite its conceptual simplicity, its measurement is a very challenging statistical problem and none of the ...
Robert Engle, Simone Manganelli
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