Results 201 to 210 of about 24,713,244 (334)

Combining Missing Data Imputation and Internal Validation in Clinical Risk Prediction Models. [PDF]

Stat Med
Mi J, Tendulkar RD, Sittenfeld SMC, Patil S, Zabor EC.   +4 more
europepmc   +1 more source

Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation

Advanced Science, EarlyView.
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar, Yannaël Bossard, Rachel Sava, Tobias Gänswein, Lorenca Sadiraj, Jean‐Samuel Dupré, Manuel Schröter, J. Gray Camp, Fernando Cardes, Julian Bartram, Andreas Hierlemann   +10 more
wiley   +1 more source

Box-meter integrated solution for power data imputation through device design and deep learning integration. [PDF]

Sci Rep
Gao C, Lin H, Lin Y.
europepmc   +1 more source

DeepMicroGen: a generative adversarial network-based method for longitudinal microbiome data imputation. [PDF]

Bioinformatics, 2023
Choi JM, Ji M, Watson LT, Zhang L.
europepmc   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

Advanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu, Rui Qiao, Ying Li, Junhong Li, Nuoya Yue, Jing Ge, Jiao Wang, Luonan Chen, Peiluan Li   +8 more
wiley   +1 more source

A self-supervised framework for laboratory data imputation in electronic health records. [PDF]

Commun Med (Lond)
Heilbroner SP, Carter C, Vidmar DM, Mueller ET, Stumpe MC, Miotto R.   +5 more
europepmc   +1 more source

Missing data imputation techniques for wireless continuous vital signs monitoring. [PDF]

J Clin Monit Comput, 2023
van Rossum MC, da Silva PMA, Wang Y, Kouwenhoven EA, Hermens HJ.   +4 more
europepmc   +1 more source

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

Advanced Science, EarlyView.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen, Jiahui Xie, Yi Liao, Junyu Li, Longqi Liu, Xin Gao, Hongmin Cai   +6 more
wiley   +1 more source

Biomimetic model for computing missing data imputation and inconsistency reduction in pairwise comparisons matrices. [PDF]

PLoS One
Koczkodaj WW, Pedrycz W, Pigazzini A, Pigazzini LP.   +3 more
europepmc   +1 more source

Noninvasive Characterization of Tumor Heterogeneity in HNSCC: From Clinical Utility to Biological Correlates

Advanced Science, EarlyView.
This study establishes a CT‐based radiomics framework to quantify intratumoral heterogeneity (ITH) in HNSCC. Using unsupervised clustering, tumor ROIs and VOIs are analyzed to calculate 2D/3D ITH scores. The score shows strong predictive value for prognosis and immunotherapy response, and is associated with tumor metabolism and immune microenvironment,
Xinwei Chen, Rui Liu, Yuan Zhou, Yin Xiao, Chengmin Feng, Lin Chen, Yanshi Li, Mengna Wang, Zhaobo Cheng, Yuxi Luo, Long Liu, Lijing Niu, Yue Xiang, Juan Peng, Guohua Hu, Min Pan   +15 more
wiley   +1 more source