Results 131 to 140 of about 35,767 (304)

Markovianness and Conditional Independence in Annotated Bacterial DNA [PDF]

, 2013
Andrew Hart, Servet Martı́nez
openalex   +1 more source

METTL5 Enables Immune Evasion of Liver Cancer via Chemokine mRNA Translation Regulation

Advanced Science, EarlyView.
METTL5 reshapes the tumor immune microenvironment through ribosome 18S rRNA m6A modification to regulate the translation of chemokine mRNA. Targeting METTL5‐mediated immunosuppression unleashes anti‐tumor immunity and improves the efficacy of anti‐PD‐1 therapy.
Shuang Li, Xiao Zhao, Tongtong Song, Qiaoyi Chen, Yanqing Wu, Yuting Zhang, Jingying Chen, Yifan Wu, Bin Li, Xinyue Zhang, Zihao Dai, Lixia Xu, Yubin Xie, Alfred Sze‐Lok Cheng, Jianping Guo, Ming Kuang, Shuibin Lin, Zhenwei Peng, Sui Peng, Xuezhen Zeng   +19 more
wiley   +1 more source

Graphical Independence Networks with the gRain Package for R

Journal of Statistical Software, 2012
In this paper we present the R package gRain for propagation in graphical independence networks (for which Bayesian networks is a special instance). The paper includes a description of the theory behind the computations.
Soren Hojsgaard
doaj  

NAD+‐Dependent Enzyme SIRT3 Limits Intestinal Epithelial Cell Functions Through NAD+ Synthesis Pathway in Colorectal Cancer

Advanced Science, EarlyView.
Microbiota‐derived quinolinic acid is used as an alternative source of replenishing the intracellular NAD+ pool induced by SIRT3 deficiency to regulate intestinal epithelial cell and T cell function, which has implications for targeting intestinal epithelial cells as an approach to the treatment of immune‐associated diseases, including colorectal ...
Ruiying Niu, Yingjie Dong, Jianghui Tong, Jingxuan Xia, Longhao Zhao, Zi Geng, Yingxin Lin, Jinghe Zhang, Xinyi Liu, Manqi Fang, Xi Jin, Yujing Bi, Guangwei Liu   +12 more
wiley   +1 more source

Conditional Independencies under the Algorithmic Independence of Conditionals

, 2016
In this paper we analyze the relationship between faithfulness and the more recent condition of algorithmic Independence of Conditionals (IC) with respect to the Conditional Independencies (CIs) they allow. Both conditions have been extensively used for causal inference by refuting factorizations for which the condition does not hold.
openaire   +1 more source

Hepatocyte Mettl3 Deficiency Drives Primary Sclerosing Cholangitis and Liver Fibrosis via Cholangiocyte‐Macrophage Crosstalk

Advanced Science, EarlyView.
Schematic illustration demonstrating that hepatic Mettl3 depletion significantly elevates the secretion of Mif and Csf1. This elevation facilitates Trem2+ macrophage infiltration and triggers cholangiocyte remodeling through the Spp1‐Cd44 interaction, resulting in spontaneous PSC development in vivo.
Wenting Pan, Yuting Yong, Yuanshuai Li, Gaona Shi, Min Zhang, Lingfei Wan, Yue Zhao, Wenling Zhan, Yanli Lin, Qiaozhen Qin, Xupeng Chen, Yanli Ni, Haixu Chen, Wenzai Shi, Xiaomeng Guo, Juan Chen, Shuchen Liu, Youliang Wang, Bing Liu, Xinlong Yan   +19 more
wiley   +1 more source

Independencies Induced from a Graphical Markov Model After Marginalization and Conditioning: The R Package ggm

Journal of Statistical Software, 2006
We describe some functions in the R package ggm to derive from a given Markov model, represented by a directed acyclic graph, different types of graphs induced after marginalizing over and conditioning on some of the variables.
Giovanni M. Marchetti
doaj  

Small dataset augmentation with radial basis function approximation for causal discovery using constraint-based method

ETRI Journal
Causal analysis involves analysis and discovery. We consider causal discovery, which implies learning and discovering causal structures from available data, owing to the significance of interpreting causal relationships in various fields.
Chan Young Jung, Yun Jang
doaj   +1 more source

Learning the Conditional Independence Structure of Stationary Time Series: A Multitask Learning Approach [PDF]

, 2015
Alexander Jung
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Assessing the Relative Importance of Imaging and Serum Biomarkers in Capturing Disability, Cognitive Impairment, and Clinical Progression in Multiple Sclerosis

Advanced Science, EarlyView.
Using machine‐learning analyses in two independent multiple sclerosis cohorts, spinal cord atrophy and cortical degeneration emerged as key predictors of disability and progression independent of relapses. Deep gray matter damage further improved prediction, while serum biomarkers of brain damage provided complementary information, highlighting the ...
Alessandro Cagol, Pascal Benkert, Sabine Schaedelin, Mario Ocampo‐Pineda, Noemi Montobbio, Po‐Jui Lu, Batuhan Ayci, Antonia Wenger, Alfi Aran Shukur, Kornelius Kaim, Lester Melie‐Garcia, Matthias Weigel, Alessio Signori, Pasquale Calabrese, Ludwig Kappos, Maria Pia Sormani, Jens Kuhle, Cristina Granziera   +17 more
wiley   +1 more source