Results 111 to 120 of about 36,073 (256)

An Integrative Strategy Delineates Modular Metabolic Remodeling and Potential Therapeutic Targets Across Metabolic Diseases

Advanced Science, EarlyView.
An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
Kuan Yang, Congxue Hu, Hang Zhao, Xiao Peng, Yiming Yan, Jiasi Wang, Wenqi Jiang, Depeng Mu, Yan Cao, Xia Li, Yunpeng Zhang   +10 more
wiley   +1 more source

Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature

Advanced Science, EarlyView.
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo, Yangyang Zhang, Yongcheng Jin, Siwei Deng, Yongqi Chen, Zheng Feng, Hao Wen, Liu Wang, Yilin Li, Fanghong Ou, Yong Shen, Haiming Li, Tianyao Zhou, Xingzhu Ju, Xiaohua Wu   +14 more
wiley   +1 more source

Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization

Advanced Science, EarlyView.
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley   +1 more source

Assessing Variable Importance for Best Subset Selection

Entropy
One of the primary issues that arises in statistical modeling pertains to the assessment of the relative importance of each variable in the model. A variety of techniques have been proposed to quantify variable importance for regression models.
Jacob Seedorff, Joseph E. Cavanaugh
doaj   +1 more source

Whole‐Genome Sequencing Pilot of the Central Asian Genomic Diversity Project Reveals Distinct Histories, Adaptation, and Introgression

Advanced Science, EarlyView.
As a pilot phase of the Central Asian Genomic Diversity Project, whole‐genome sequencing of 166 individuals from 20 Central Asian and Afghan Hazara populations reveals fine‐scale substructure shaped by repeated trans‐Eurasian migration and admixture. Integrated analyses uncover post‐admixture adaptation, archaic introgression, and medically relevant ...
Mengge Wang, Shuhan Duan, Qiuxia Sun, Renkuan Tang, Lintao Luo, Jie Zhong, Zhaxylyk Sabitov, CAGDP Consortium†, Lan‐Hai Wei, Chao Liu, Maxat Zhabagin, Guanglin He   +11 more
wiley   +1 more source

The estimation of number of bootstrap replications for the parametric bootstrap

, 2004
The problem of number of parametric bootstrap replications that are necessary to realizace at bias estimation is solved in this paper. It shows results of simulations demonstrating extent of error that we can cause at different number of bootstrap replications.
openaire   +1 more source

Slc44a2 Deficiency Unveils an IFN‐I–Dependent Feedback Control of pDC Egress

Advanced Science, EarlyView.
Working model of SLC44A2‐mediated maintenance of pDC homeostasis. This model illustrates two central mechanisms by which SLC44A2 regulates pDC homeostasis: (1) SLC44A2 limits IFN‐I production by exporting amino acids (T, N, Q), thereby preventing spontaneous pDC activation.
Ruiqun Chen, Tao Wu, Zhen Shi, Ravi Kumar Verma, Linlin Sheng, Lei Tao, Mingming Yang, Yuchen Wang, Conggang Zhang, Hao Fan, Li Wu, Ligong Chen   +11 more
wiley   +1 more source

Harnessing Large‐Scale Multi‐Omics Data for Risk Prediction and Deep Phenotyping of Valvular Heart Diseases in the General Population

Advanced Science, EarlyView.
Large‐scale UK Biobank analyses identify clinical and proteomic signatures for early prediction of valvular heart disease and its subtypes. Proteins add predictive value for VHD, AVS, and MVR, with outcome‐specific compact panels showing translational potential. Multi‐layer evidence highlights matrix remodeling, protease regulation, immune inflammation,
Zhihao Jiang, Yang Liu, Mingyu Song, Ning Chen, Canqing Yu, Jun Lv, Eric Yuk Fai Wan, Lu Qi, Liming Li, Dianjianyi Sun, Bang Zheng   +10 more
wiley   +1 more source

RHINO: An Integrative Multi‐Omics Framework Linking Circadian Physiology to Precision Medicine

Advanced Science, EarlyView.
RHINO (RHythmic Interacting Network for multi‐Omics) is an integrative framework that maps circadian regulation across diverse genetic and disease contexts and prioritizes druggable circadian targets. Released as an AI‐powered interactive web portal, RHINO unifies genetic, regulatory, disease, and drug–target information, enabling context‐specific ...
Ying Chen, Chengxuan Chen, Dishu Zhou, Panpan Liu, Roberto E. López‐Valiente, Yuan Liu, Cam Mong La, Isabella Beraldo Xavier, Sean M. Hartig, Pradip Saha, Zheng Sun, Leng Han, Dongyin Guan   +12 more
wiley   +1 more source

Metagenomic Association Uncovers Host Genotype‐Structured Rhizobacterial Networks and Novel Taxa That Enhance Soybean Salt Tolerance

Advanced Science, EarlyView.
An STI‐guided metagenomic association framework links soybean salt‐tolerance phenotypes with rhizosphere microbiome composition and network organization in natural saline soils. The approach identifies candidate beneficial taxa, including Thalassospira xiamenensis, and provides an efficient strategy for mining stress‐protective microbes from native ...
Yu Luo, Feng‐Li Kang, Qi‐Min Li, Wei‐Cai Yang   +3 more
wiley   +1 more source