Results 91 to 100 of about 6,826 (184)

Heatmap showing the Jensen–Shannon (JS) divergence between challenge groups estimated from FPKM values for all genes.

, 2015
Heatmap showing the Jensen–Shannon (JS) divergence between challenge groups estimated from FPKM values for all genes.
Polyana C. Tizioto (762238), Christopher M. Seabury (194409), JaeWoo Kim (544072), Laurel J. Gershwin (653896), Rachel Toaff-Rosenstein (762239), Holly L. Neibergs (127865), Alison L. Van Eenennaam (242082), Robert D. Schnabel (194392), Jeremy F. Taylor (179789)   +8 more
core   +1 more source

Monoparametric family of metrics derived from classical Jensen–Shannon divergence [PDF]

, 2018
Artículo finalmente publicado en: Osán, T. M., Bussandri, D. G. y Lamberti, P. W. (2018). Monoparametric family of metrics derived from classical Jensen-Shannon divergence. Physica A: Statistical Mechanics and its Applications, 495, 336-344.
Pedro W. Lamberti, Diego G. Bussandri, Tristán M. Osán, Bussandri, Diego Gastón, Lamberti, Pedro Walter, Osán, Tristán Martín   +5 more
core   +1 more source

Gaining ground: survival of native estuarine fauna exposed to recycled glass sand, a potential material for coastal restoration

Restoration Ecology, EarlyView.
Abstract Objectives The aim of this research is to develop an understanding of the potential for using recycled glass sand as a resource for restoring Louisiana's coastline by testing the effects of exposure of native estuarine fauna to recycled glass sand and other sand treatments in a laboratory environment.
Dave Cooper Campbell, Grace Gleason, Shannon Cruz, Henry L. Bart Jr.   +3 more
wiley   +1 more source

Precise assessment of facial skin based on multimodal data fusion of the microbiome

Quantitative Biology, Volume 14, Issue 3, September 2026.
Abstract The skin microecology plays a vital role in maintaining cutaneous health and is intricately linked to host skin phenotypes. However, there remains a lack of precise and quantitative biomarkers for evaluating skin health conditions, making it challenging to identify individuals at potential risk of microecological imbalance.
Fan Meng, Junhui Zhang, Chunying Yuan, Ruichen Li, Yangyang Sun, Hong Jiang, Suzhen Yang, Yan Li, Xiaoquan Su   +8 more
wiley   +1 more source

Identifying Ordinal Similarities at Different Temporal Scales

Entropy
This study implements the permutation Jensen–Shannon distance as a metric for discerning ordinal patterns and similarities across multiple temporal scales in time series data.
Luciano Zunino, Xavier Porte, Miguel C. Soriano   +2 more
doaj   +1 more source

Individual Brain Morphological Connectome Indicator Based on Jensen-Shannon Divergence Similarity Estimation for Autism Spectrum Disorder Identification. [PDF]

Front Neurosci, 2022
Yi T, Wei W, Ma D, Wu Y, Cai Q, Jin K, Gao X.   +6 more
europepmc   +1 more source

Properties of classical and quantum Jensen-Shannon divergence

, 2009
Jensen-Shannon divergence (JD) is a symmetrized and smoothed version of the most important divergence measure of information theory, Kullback divergence.
Harremoës, P. (Peter), Briët, J. (Jop)
core  

Scalable Approximation of the Transformation‐Free Linear Simplicial–Simplicial Regression via Constrained Iterative Reweighted Least Squares

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 4, August 2026.
ABSTRACT Simplicial–simplicial regression concerns statistical modeling scenarios in which both the predictors and the responses contain vectors constrained to lie on the simplex. Fiksel et al. introduced a transformation‐free linear regression framework for this setting, wherein the regression coefficients are estimated by minimizing the Kullback ...
Michail Tsagris, Omar Alzeley
wiley   +1 more source

Directed Network Comparison Using Motifs

Entropy
Analyzing and characterizing the differences between networks is a fundamental and challenging problem in network science. Most previous network comparison methods that rely on topological properties have been restricted to measuring differences between ...
Chenwei Xie, Qiao Ke, Haoyu Chen, Chuang Liu, Xiu-Xiu Zhan   +4 more
doaj   +1 more source

Analysis of symbolic sequences using the Jensen-Shannon divergence

, 2002
We study statistical properties of the Jensen-Shannon divergence D, which quantifies the difference between probability distributions, and which has been widely applied to analyses of symbolic sequences.
Stanley, H. E., Grosse, I., Bernaola-Galvan, P., Roman-Roldan, R., Oliver, J., Carpena, P.   +5 more
core   +1 more source