Results 71 to 80 of about 59,165 (246)

Estimating individuals' genetic and non-genetic effects underlying infectious disease transmission from temporal epidemic data.

PLoS Computational Biology, 2020
Individuals differ widely in their contribution to the spread of infection within and across populations. Three key epidemiological host traits affect infectious disease spread: susceptibility (propensity to acquire infection), infectivity (propensity to
Christopher M Pooley, Glenn Marion, Stephen C Bishop, Richard I Bailey, Andrea B Doeschl-Wilson   +4 more
doaj   +1 more source

PRDM1+ Malignant Cells Mediate an Immunosuppressive Landscape and Resistance to Neoadjuvant Chemoradiotherapy and Immunotherapy in Esophageal Squamous Cell Carcinoma

Advanced Science, EarlyView.
Integrated scRNA‐seq, scTCR‐seq analysis, and functional assays identify PRDM1+ malignant epithelial cells with hyper lipid peroxidation characteristics that demonstrate reduced responsiveness to the nICRT treatment. Principal factor PRDM1 activates cysteine metabolism genes to modulate lipid peroxidation (an intrinsic cellular pathway related to ...
Dijian Shen, Rui Li, Yong She, Xuefei Liu, Yuanyang Huang, Yongling Ji, Keying Chen, Zhengbo Song, Runzhe Chen, Xuan Li, Qi Zhao, Qixun Chen, Ming Chen   +12 more
wiley   +1 more source

A New Hjorth Distribution in Its Discrete Version

Mathematics
The Hjorth distribution is more flexible in modeling various hazard rate shapes, including increasing, decreasing, and bathtub shapes. This makes it highly useful in reliability analysis and survival studies, where different failure rate behaviors must ...
Hanan Haj Ahmad, Ahmed Elshahhat
doaj   +1 more source

A rule-of-thumb for the variable bandwidth selection in kernel hazard rate estimation [PDF]

In nonparametric curve estimation the decision about the type of smoothing parameter is critical for the practical performance. The nearest neighbor bandwidth as introduced by Gefeller and Dette 1992 for censored data in survival analysis is specified by
Gefeller, Olaf, Weißbach, Rafael
core  

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

Advanced Science, EarlyView.
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan, Jiating Yu, Jieyi Pan, Fan Yuan, Jiadong Ji, Rusong Zhao, Zhi‐Ping Liu, Bingqiang Liu, Ling‐Yun Wu, Duanchen Sun   +9 more
wiley   +1 more source

Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data

, 2012
The analysis of the joint cumulative distribution function (CDF) with bivariate event time data is a challenging problem both theoretically and numerically.
Wu, Yuan, Zhang, Ying
core   +1 more source

Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D

Advanced Science, EarlyView.
CellSqueeze3D reconstructs 3D cellular architecture from standard 2D histology images using biomechanical constraints and optimization. Validated on clinical datasets, it enables accurate tissue phenotyping, predicts gene mutations, and reveals significant correlations between nuclear‐cytoplasmic ratio entropy and tumor progression.
Yan Kong, Hui Lu
wiley   +1 more source

Effectiveness of Pre‐Transplant Dual GLP‐1 Receptor Agonist and SGLT2 Inhibitor Therapy on All‐Cause Mortality in Organ Transplantation Candidates with Obesity and Type 2 Diabetes: a Target‐Trial Emulation

Advanced Science, EarlyView.
This target trial emulation in solid organ transplant candidates with obesity and type 2 diabetes evaluates whether pre‐transplant dual therapy with GLP‐1 receptor agonists plus SGLT2 inhibitors is associated with post‐transplant mortality and kidney graft outcomes compared with monotherapy or usual care, using multinational electronic health records ...
Yu‐Nan Huang, Min‐Yu Tsou, Pin‐Hung Li, Jo‐Ching Chen, Yen‐Liang Liu, Gideon Meyerowitz‐Katz, Tsung‐Hsun Tsai, Pen‐Hua Su   +7 more
wiley   +1 more source

Bayesian Estimation of Reliability of the Electronic Components Using Censored Data from Weibull Distribution: Different Prior Distributions

International Journal of Industrial Engineering and Production Research, 2014
The Weibull distribution has been widely used in survival and engineering reliability analysis. In life testing experiments is fairly common practice to terminate the experiment before all the items have failed, that means the data are censored.
fernando antonio Moala
doaj  

On Moments of Inverse Kumaraswamy Distribution Based on Progressive Type-II Censored Order Statistics

Journal of Statistical Theory and Applications (JSTA)
Daghistani et al. (Pak J Stat Oper Res 989–997, 2019) introduced and investigated the properties of the new inverse Kumaraswamy distribution. This distribution has numerous applications in various fields, including life testing, biology, and medicine ...
Areej M. AL-Zaydi
doaj   +1 more source