Results 61 to 70 of about 45,940 (254)

QUANTIFICATION OF THE CATEGORIES OF DROSOPHILAS AND YEAST BY THE METHODS OF RECIPROCAL AVERAGES AND VARIANCE ANALYSIS

open access: yesPesquimat, 2014
A latent problem in two-dimensional contingency tables is to quantify the levels of categorical variables involved. In this paper we choose the nonlinear multivariate descriptive methods, Reciprocal averaging method and Variance Analysis method for ...
Doris Gómez Ticerán   +5 more
doaj   +1 more source

HNRNPD Induces Radioresistance in Nasopharyngeal Carcinoma by Sequestering GRAMD4 mRNA in Stress Granules

open access: yesAdvanced Science, EarlyView.
HNRNPD promotes radioresistance in nasopharyngeal carcinoma by enhancing stress granule assembly and sequestering GRAMD4 mRNA. This suppresses GRAMD4 translation and inhibits mitochondrial apoptosis. Targeting the integrated stress response with ISRIB restores GRAMD4 expression and sensitizes tumors to radiotherapy, revealing a translational control ...
Yingzi Li   +13 more
wiley   +1 more source

Simultaneous Analysis in S-PLUS: The SimultAn Package

open access: yesJournal of Statistical Software, 2011
In this paper we describe the SimultAn package dedicated to simultaneous analysis. Simultaneous analysis is a new factorial methodology developed for the joint treatment of a set of several data tables.
Amaya Zarraga, Beatriz Goitisolo
doaj  

Subsymmetry and asymmetry models for multiway square contingency tables with ordered categories

open access: yesOpen Mathematics, 2016
This paper suggests several models that describe the symmetry and asymmetry structure of each subdimension for the multiway square contingency table with ordered categories.
Aktaş Serpil
doaj   +1 more source

A New Test for Independence in 2×2 Contingency Tables

open access: yesActa Universitatis Lodziensis. Folia Oeconomica, 2017
In statistical literature there exist many tests to reveal the independence of two qualitative variables in two‑way contingency tables (CTs), in particular in 2×2 CTs. In this paper four independence tests were compared.
Piotr Sulewski
doaj   +1 more source

Haplotype‐Resolved 3D Genomic Landscapes and Their Impacts on Agronomic Traits in Grapevine

open access: yesAdvanced Science, EarlyView.
This study presents a haplotype‐resolved 3D genomic landscape of grapevine, revealing that structural variations (SVs) are closely associated with phased topologically associating domain (TAD) boundary transitions. These rearrangements coordinate with allele‐specific DNA methylation (ASM) and allele‐biased gene expression (ASE) to shape key agronomic ...
Yanling Peng   +18 more
wiley   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

open access: yesAdvanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin   +12 more
wiley   +1 more source

The Application of Canonical Correlation to Two-Dimensional Contingency Tables [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2010
This paper re-introduces and demonstrates the use of Mickey’s (1970) canonical correlation method in analyzing large two-dimensional contingency tables. This method of analysis supplements the traditional analysis using the Pearson chi-square.
Alberto F. Restori   +2 more
doaj  

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

open access: yesAdvanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang   +2 more
wiley   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

open access: yesAdvanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang   +5 more
wiley   +1 more source

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