Results 71 to 80 of about 472,976 (271)
Learning causal models that make correct manipulation predictions with time series data [PDF]
, 2010 One of the fundamental purposes of causal models is using them to predict the effects of manipulating various components of a system. It has been argued by Dash (2005, 2003) that the Do operator will fail when applied to an equilibrium model, unless the ...
Dash, Denver H +2 more
core
Molecular bases of circadian magnesium rhythms across eukaryotes
FEBS Letters, EarlyView.Circadian rhythms in intracellular [Mg2+] exist across eukaryotic kingdoms. Central roles for Mg2+ in metabolism suggest that Mg2+ rhythms could regulate daily cellular energy and metabolism. In this Perspective paper, we propose that ancestral prokaryotic transport proteins could be responsible for mediating Mg2+ rhythms and posit a feedback model ...
Helen K. Feord, Gerben van Ooijen
wiley +1 more source
Crosstalk between the ribosome quality control‐associated E3 ubiquitin ligases LTN1 and RNF10
FEBS Letters, EarlyView.Loss of the E3 ligase LTN1, the ubiquitin‐like modifier UFM1, or the deubiquitinating enzyme UFSP2 disrupts endoplasmic reticulum–ribosome quality control (ER‐RQC), a pathway that removes stalled ribosomes and faulty proteins. This disruption may trigger a compensatory response to ER‐RQC defects, including increased expression of the E3 ligase RNF10 ...
Yuxi Huang +8 more
wiley +1 more source
Imperfect gold standard gene sets yield inaccurate evaluation of causal gene identification methods
Communications BiologyCausal gene discovery methods are often evaluated using reference sets of causal genes, which are treated as gold standards (GS) for the purposes of evaluation.
Lijia Wang, Xiaoquan Wen, Jean Morrison
doaj +1 more source
Causal Reinforcement Learning Algorithm Based on Causal Mask [PDF]
Jisuanji gongchengReinforcement Learning (RL) has become an important solution to sequential continuous decision-making problems, such as root cause localization of fault alarms; however, existing methods suffer from low sample efficiency and high exploration costs that ...
HUANG Siyang, CAI Ruichu, QIAO Jie, HAO Zhifeng
doaj +1 more source
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles
, 2020 While feedback loops are known to play important roles in many complex systems, their existence is ignored in a large part of the causal discovery literature, as systems are typically assumed to be acyclic from the outset.
Claassen, Tom, Mooij, Joris M.
core
Biallelic Inactivation of NSD1 Associated With Carcinogenesis in Sotos Syndrome
Pediatric Blood &Cancer, EarlyView.
Nicholas A. Borja +8 more
wiley +1 more source
FEBS Letters, EarlyView.This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley +1 more source
Argumentative Causal Discovery
Proceedings of the TwentyFirst International Conference on Principles of Knowledge Representation and ReasoningCausal discovery amounts to unearthing causal relationships amongst features in data. It is a crucial companion to causal inference, necessary to build scientific knowledge without resorting to expensive or impossible randomised control trials.
Russo, Fabrizio +2 more
openaire +2 more sources
Causality, Causal Discovery, and Causal Inference in Structural Engineering
, 2022 Much of our experiments are designed to uncover the cause(s) and effect(s) behind a data generating mechanism (i.e., phenomenon) we happen to be interested in. Uncovering such relationships allows us to identify the true working of a phenomenon and, most importantly, articulate a model that may enable us to further explore the phenomenon on hand and/or
openaire +2 more sources