Results 91 to 100 of about 1,312,626 (282)

Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models

BMC Bioinformatics, 2020
Background The standard lasso penalty and its extensions are commonly used to develop a regularized regression model while selecting candidate predictor variables on a time-to-event outcome in high-dimensional data. However, these selection methods focus
Shaima Belhechmi, Riccardo De Bin, Federico Rotolo, Stefan Michiels   +3 more
doaj   +1 more source

Omnidirectional Interaction Networks Modulating Phenotypic Plasticity in the Gut Microbiota Towards Ulcerative Colitis

Advanced Science, EarlyView.
This study employs a spouse‐pair cohort design and an idopNetwork model that integrates evolutionary game theory, predator‐prey dynamics, and developmental modularity theory to reconstruct maximally informative microbial interaction networks. This approach reveals how interspecies interactions drive the phenotypic plasticity of the gut microbiota in ...
Huizhen Li, Jiayi Li, Ang Dong, Xiaoyan Guo, Qiuyue Tu, Zelin Feng, Haojia Lin, Yanru Zhang, Yuxuan Hao, Huiying Gong, Yihan Meng, Yu Wang, Shing‐Tung Yau, Xiaocang Cao, Rongling Wu, Xinjuan Liu   +15 more
wiley   +1 more source

An Integrated Artificial Intelligence Framework for Nanomedicine Engineering

Advanced Science, EarlyView.
This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong, Qin Luo, Xinyi Ding, Chaoqi Lu, Ru Zhang, Qingqing Tan, Zhiqing Pang, Defang Ouyang, Dongsheng Li, Jiaxuan Xia, Jianxin Wang   +10 more
wiley   +1 more source

Impact of the power of adaptive weight on penalized logistic regression: Application to cancer classification

Journal of Biostatistics and Epidemiology
Background: Hybrid of the high-dimensional sparse data and multicollinearity problems can cause instabilities in classification models when applying them to new datasets.
Narumol Sudjai, Monthira Duangsaphon, Chandhanarat Chandhanayingyong   +2 more
doaj   +1 more source

HADHA K406 Lactylation Regulates Metabolic Reprogramming and Suppresses Immune Responses in Gastric Cancer

Advanced Science, EarlyView.
HADHA K406 lactylation fuels fatty acid β‐oxidation and HMGCR‐dependent cholesterol biosynthesis, fostering immunosuppressive MDSCs and exhausted CD8+ T cells in gastric cancer. Loss of this modification blocks cholesterol production, remodels the tumor microenvironment, and tumor growth is suppressed via combined inhibition of HMGCR and LDHA ...
Maoxiao Feng, Qinlian Jiao, Jiankang Zhu, Yidan Ren, Xiaoyu Teng, Xin Su, Zigan Li, Yuxuan Cai, Xiaoyan Liu, Yunshan Wang, Guangyong Zhang   +10 more
wiley   +1 more source

Adaptive testing for the graphical lasso

, 2013
We consider tests of significance in the setting of the graphical lasso for inverse covariance matrix estimation. We propose a simple test statistic based on a subsequence of the knots in the graphical lasso path. We show that this statistic has an exponential asymptotic null distribution, under the null hypothesis that the model contains the true ...
G'Sell, Max Grazier, Taylor, Jonathan, Tibshirani, Robert   +2 more
openaire   +2 more sources

A Programmable Braided Silk‐Glass Fiber Ligament Promoting Rapid Motoric Recovery

Advanced Science, EarlyView.
A scalable three‐dimensional braiding strategy integrates silk and glass fibers into customizable artificial ligaments with programmable “J‐shaped” nonlinear mechanics. The silk‐rich architecture supports osseoligamentous integration, while glass fibers provide mechanical reinforcement and biomimetic mineralization cues, enabling strain‐adaptive load ...
Changbo Lu, Daming Liu, Haoxin Zhang, Zhiwei Qiao, Qiuming Gao, Jia Meng, Hongyin Yue, Songkai Li, Shuo Zhang, Tao Yuan, Yun Xue, Hui Jiang, Zhenguo Liu, Yibo Wang, Nirong Bao, Yuli Chen, Xiaojiang Yang   +16 more
wiley   +1 more source

An Integrated Framework Coupling Hierarchical Hyperspectral i‐trait Screening, Gene Identification, and Functional Validation for Genetic Dissection of Salt Tolerance in Cotton

Advanced Science, EarlyView.
An integrated phenomics–genomics framework captures dynamic salt‐stress responses in laboratory‐grown cotton seedlings through time‐series hyperspectral imaging and non‐destructive i‐trait extraction. Hierarchical screening identifies biologically relevant, heritable, and non‐redundant traits for high‐resolution GWAS, identifying GhST7.
Bowei Xu, Le Liu, Mengli Yu, Yuling Guo, Junli Ye, Jun Zhang, Rumeng Zhao, Jiajie Yang, Wanneng Yang, Yameng Xu, Liqiang Fan, Zuoren Yang   +11 more
wiley   +1 more source

The Adaptive $\tau$-Lasso: Robustness and Oracle Properties

IEEE Transactions on Signal Processing
This paper introduces a new regularized version of the robust $τ$-regression estimator for analyzing high-dimensional datasets subject to gross contamination in the response variables and covariates. The resulting estimator, termed adaptive $τ$-Lasso, is robust to outliers and high-leverage points. It also incorporates an adaptive $\ell_1$-norm penalty
Emadaldin Mozafari-Majd, Visa Koivunen
openaire   +3 more sources

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

AIChE Journal, EarlyView.
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin, Jules Thibault, Clémence Fauteux‐Lefebvre   +2 more
wiley   +1 more source