Results 151 to 160 of about 248,303 (301)

Imputation Methods for Incomplete Dependent Variables in Finance [PDF]

Missing observations in dependent variables is a common feature of many financial applications. Standard ad hoc missing value imputation methods invariably fail to deliver efficient and unbiased parameter estimates.
Paul Kofman, Ian Sharpe
core  

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source

Semiparametric Regression Analysis under Imputation for Missing Response Data [PDF]

We develop inference tools in a semiparametric regression model with missing response data. A semiparametric regression imputation estimator, a marginal average estimator and a (marginal) propensity score weighted estimator are defined.
Qihua Wang, Wolfgang Haerdle, Oliver Linton   +2 more
core  

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

Advanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao, Na Zhou, Ruotong Liu, Xiaofei Li, Jian Li, Fuzhong Xue, Qingzhen Hou   +6 more
wiley   +1 more source

Evaluating the Cyclical Hybrid Imputation Technique (CHIT) under MCAR, MAR, and MNAR missing data mechanisms: Evidence from health datasets. [PDF]

PLoS One
Kotan K, Kırışoğlu S.
europepmc   +1 more source

BraMARS: An Interpretable Histopathology‐Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited‐Stage SCLC

Advanced Science, EarlyView.
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang, Taolue Wang, Shilong Liu, Zicheng Zhang, Yibo Zhang, Fan Yang, Bo Yu, Shuaishuai Gao, Yu Chen, Lin Yang, Meng Zhou   +10 more
wiley   +1 more source

Oligosaccharides With Defined Glycosidic Bonds Shape Gut Microbial Succession and Metabolism Via Bond‐Specific Microbial Responders

Advanced Science, EarlyView.
Oligosaccharides with defined glycosidic bonds drive divergent gut microbial succession and shape unique metabolic profiles. Absolute time‐series profiling with Bayesian generalized Lotka–Volterra modeling identifies bond‐specific microbial responders, while monoculture validation and metaproteomics reveal linkage‐matched transport and cleavage modules.
Xiaoxuan Lu, Jiaqi Zou, Geng Han, Mengyao Zhao, Ting Luo, Xiangru Feng, Liangliang Zhu, Yijia Chen, Xiaoguo Ji, Jiayang Jin, Liming Zhao   +10 more
wiley   +1 more source

The Soifua Manuia reference panel with 2,570 Samoan haplotypes improves genotype imputation quality among Samoans. [PDF]

Commun Biol
Carlson JC, Krishnan M, Liu S, Anderson KJ, Zhang JZ, Spor LM, Yapp TJ, Chiyka EA, Dikec DA, Cheng H, Naseri T, Reupena MS, Viali S, Deka R, Hawley NL, McGarvey ST, Weeks DE, Minster RL.   +17 more
europepmc   +1 more source

Univariate Multiple Imputation for Coarse Employee Income Data

, 2012
This paper is concerned with conducting univariate multiple imputation for employee income data that is comprised of continuously distributed observations, observations that are bounded by consecutive income brackets, and observations that are missing. A
Daniels, Reza C.
core  

Spatiotemporal Multi‐Omic Mapping Reveals Liver‐Muscle Metabolic Crosstalk in Cancer Cachexia

Advanced Science, EarlyView.
The interactive CCAtlas platform delineates cross‐species, spatiotemporal, and sex‐specific molecular dynamics and metabolic rewiring across organs during cancer cachexia. Hepatic Gamt downregulation curtails hepatic creatine synthesis to trigger systemic creatine insufficiency and consequent skeletal muscle atrophy in LLC tumour‐bearing mice ...
Zihan Tian, Qianyu Wang, Wenyan Gao, Xianfeng Li, Jiawen Fan, Xiaoliang Wu, Siqi Liu, Xiangdong Ming, Danna Yeerken, Mutian Shen, Qingjie Min, Qimin Zhan, Yan Wang   +12 more
wiley   +1 more source