Results 51 to 60 of about 6,570,426 (256)
Desimal, 2023 The censored quantile regression method is a parameter estimation method that can be used to overcome censored data and BLUE (Best Linear Unbiased Estimator) assumptions that are not met.
Sarmada Sarmada +2 more
doaj +1 more source
Compact 9dBEs Enable Efficient and Precise Genome Editing in Mammalian Cells and In Vivo
Advanced Science, EarlyView.As a compact type II‐D system, the Cas9d‐based platform holds great potential for in vivo applications. Through rational engineering, its derived base editors (9dBEs) enable efficient disease modeling while facilitating single‐vector AAV delivery for in vivo genome editing. These miniature tools offer a robust strategy for basic research and biomedical
Qingquan Xiao +12 more
wiley +1 more source
Magnetic Water Cleaning of Estrogens via Tight yet Dynamic Binding to Nanoparticles
Advanced Science, EarlyView.Micropollution is one of the big challenges humanity faces with estrogen hormones being emerging pollutants of concern. Here, a supramolecular design strategy is presented that generates a simple nano‐adsorbent material to magnetically remove low‐concentrated estrogens from water.
Lukas Müller +25 more
wiley +1 more source
پژوهشهای ریاضی, 2018 Introduction In classical methods of statistics, the parameter of interest is estimated based on a random sample using natural estimators such as maximum likelihood or unbiased estimators (sample information).
azadeh kiapour
doaj
AllInOne Pre-processing: A comprehensive preprocessing framework in plant field phenotyping
SoftwareX, 2023 AllInOne Pre-processing is an innovative open-source, R-Shiny user interface package designed to facilitate the swift and effective preprocessing of plant phenotypic data.
Mohsen Yoosefzadeh Najafabadi +2 more
doaj +1 more source
NICE: A Two‐Step Non‐Invasive Framework for Embryo cfDNA Read Enrichment and Quality Assessment
Advanced Science, EarlyView.The non‐invasive NICE framework, built on an ensemble stacking machine learning model, prioritizes embryos by analyzing cell‐free DNA from spent culture medium. By integrating multimodal signals, including genomic and epigenetic profiles, this automated approach standardizes morphological assessment without human bias, paving the way for more precise ...
Xueya Zhou +6 more
wiley +1 more source
Empirical Best Linear Unbiased Prediction for Out of Sample Areas
, 2005 Models for small area estimation based on a random effects specification typically assume population units in different areas are uncorrelated. However, they can be extended to account for the correlation between areas by assuming that area random ...
Saei, Ayoub, Chambers, Ray
core +1 more source
Two Kantorovich-type inequalities and efficiency comparisons between the OLSE and BLUE
Journal of Inequalities and Applications, 2002 We first establish two matrix-determinant Kantorovich-type inequalities. Then we introduce two efficiency criteria and make efficiency comparisons between the ordinary least squares estimator and best linear unbiased estimator in linear models.
King Maxwell L, Liu Shuangzhe
doaj
Parameter Estimation for the Log-Logistic Distribution Based on Order Statistics
Revstat Statistical Journal, 2018 In this paper, we discuss the moments and product moments of the order statistics in a sample of size n drawn from the log-logistic distribution. We provide more compact forms for the mean, variance and covariance of order statistics.
Mohammad Ahsanullah , Ayman Alzaatreh
doaj +1 more source
Advanced Science, EarlyView.A multimodal fusion framework integrating sequence, atomic, and fragment representations captures drug–target interactions across multiple scales. The model delivers strong predictive performance and enables efficient virtual screening. Applied to hematopoietic progenitor kinase 1 (HPK1), it identifies structurally diverse inhibitors with nanomolar ...
Shuo Liu +7 more
wiley +1 more source