Results 131 to 140 of about 202,004 (267)

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

Advanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia, Siyu Li, Songming Tang, Keju Gu, Shengquan Chen   +4 more
wiley   +1 more source

Evaluating Missing Data Imputation Strategies for Environmental Mixture Models: A Simulation Study and Applied Analysis. [PDF]

Data Sci Sci
Boafo YS, Mostafa S, Obeng-Gyasi E.
europepmc   +1 more source

Sex‐ and Time‐Resolved Physiological and Gut Ecosystem Responses to a Food‐Grade Microbiome‐Targeted Intervention in Collegiate Endurance Athletes

Advanced Science, EarlyView.
In collegiate endurance athletes, a 6‐week randomized CPYE intervention yielded time‐ and sex‐dependent shifts in field‐based cardiorespiratory, metabolic, and redox indices, accompanied by changes in gut multi‐omics profiles. An exploratory extension during intensified training generates hypotheses warranting future validation.
Meng Zhang, Le Ge, Kaiyang Liu, Yanrong Liu, Guolin Zhao, Lai‐Yu Kwok, Zheng Sun, Zhihong Sun, Wenyi Zhang   +8 more
wiley   +1 more source

Management insulin dosing for diabetes using a partially observable Markov decision process with missing data imputation. [PDF]

Sci Rep
Xiang J, Yu H, Luo L, Liu S.
europepmc   +1 more source

Structural Divergence Between the Moltbook AI‐Agent Network and Human Social Networks

Advanced Science, EarlyView.
Analysis of the Moltbook AI‐agent network reveals a striking combination of familiar global scaling and distinct internal organization. Attention is highly concentrated, reciprocity is limited, connected triads are suppressed, and communities are strongly modular.
Wenpin Hou, Zhicheng Ji
wiley   +1 more source

SGA-DT: An adaptive fusion framework for missing data imputation and interpretable healthcare classification. [PDF]

PLoS One
Jena M, Dehuri S, Cho SB.
europepmc   +1 more source

ChatGPT-based Biological and Psychological Data Imputation. [PDF]

Meta Radiol, 2023
Nazir A, Cheeema MN, Wang Z.
europepmc   +1 more source

Proteogenomic Profiling of Idiopathic Pulmonary Arterial Hypertension Identifies Sex‐Differential Proteins and Candidate Therapeutic Targets

Advanced Science, EarlyView.
An integrated proteogenomic analysis of 44,137 predominantly European‐ancestry UK Biobank participants aged 40–69 years identifies 12 robust proteins associated with idiopathic pulmonary arterial hypertension. These proteins define a high‐mortality molecular endotype, support early detection and mortality prediction, reveal sex‐differential proteomic ...
Xinjie Lin, Yangchang Zhang, Yang Pu, Duanke Liu, Tao Lei, Kai Ma, Qiyu He, Zheng Dou, Yuze Liu, Dengyuan Liu, Yinge He, Yanshang Wang, Xiaojiao Zheng, Yanbing Ma, Jianrong Zhou, Weiding Zhai, Binbin Su, Li Chen, Shoujun Li   +18 more
wiley   +1 more source

Missing data imputation in hourly CO measurements for air quality monitoring: a case study in the city of Salvador, Brazil. [PDF]

Environ Monit Assess
de Assis TCB, Fontes CH, Albuquerque ÉL.   +2 more
europepmc   +1 more source

Deep Learning Methods for Omics Data Imputation. [PDF]

Biology (Basel), 2023
Huang L, Song M, Shen H, Hong H, Gong P, Deng HW, Zhang C.   +6 more
europepmc   +1 more source