Results 51 to 60 of about 36,759 (255)

Enhancing Maturation of Human Neuromuscular Organoids via Electrical Stimulation

Advanced Science, EarlyView.
A framework for on‐demand and non‐invasive exposure of human neuromuscular organoids (NMOs) to electrical stimuli is established to promote their maturation. The robustness and effectiveness of different stimulation regimes are evaluated via thorough characterization of organoid tissue structure and contraction capacity. Chronic electrical stimulation,
Chrysanthi‐Maria Moysidou, Inês Afonso Martins, Ismail Amr El‐Shimy, Iacopo Bicci, Donatella Cea, Christina Bukas, Isra Mekki, Mara‐Camelia Rusu, Aylin Nebol, Ines Lahmann, Marie Piraud, Enrico Klotzsch, Mina Gouti   +12 more
wiley   +1 more source

Deciphering hierarchical organization of topologically associated domains through change-point testing

BMC Bioinformatics, 2021
Background The nucleus of eukaryotic cells spatially packages chromosomes into a hierarchical and distinct segregation that plays critical roles in maintaining transcription regulation.
Haipeng Xing, Yingru Wu, Michael Q. Zhang, Yong Chen   +3 more
doaj   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

STUDY OF HOMOGENEITY OF THE DISPERSION IN ONE WAY CLASSIFICATION MODELS WITH PROPORTIONS AND COUNTS DATA ESTUDIO DE HOMOGENEIDAD DE LA DISPERSIÓN EN DISEÑO A UNA VÍA DE CLASIFICACIÓN PARA DATOS DE PROPORCIONES Y CONTEOS

Revista Colombiana de Estadística, 2009
When analyzing data in the presence of over dispersion, the usual practice is to assume a common dispersion parameter to all observations. However, there are situations where the assumption of homogeneity of the dispersion parameter does not hold.
Morales Mario Alfonso, López Luis Alberto   +1 more
doaj  

An empirical comparison of methods for analyzing over-dispersed zero-inflated count data from stratified cluster randomized trials

Contemporary Clinical Trials Communications, 2020
Background: The assessment of methods for analyzing over-dispersed zero inflated count outcome has received very little or no attention in stratified cluster randomized trials. In this study, we performed sensitivity analyses to empirically compare eight
Sayem Borhan, Courtney Kennedy, George Ioannidis, Alexandra Papaioannou, Jonathan Adachi, Lehana Thabane   +5 more
doaj   +1 more source

A New Mixed Generalized Negative Binomial Distribution

, 2019
In this article, a generalized version of Negative binomial-beta exponential distribution with five parameters have been introduced. Some interesting submodels have been derived from it. A comprehensive mathematical treatment of proposed distribution is being provided.
Hassan, Anwar, Ahmad, Ishfaq Shah, Ahmad, Peer Bilal   +2 more
openaire   +2 more sources

Multiplicity distributions in strong interactions: a generalized negative binomial model [PDF]

Physics Letters B, 1996
A three-parameter discrete distribution is developed to describe the multiplicity distributions observed in total- and limited phase space volumes in different collision processes. The probability law is obtained by the Poisson transform of the KNO scaling function derived in Polyakov's similarity hypothesis for strong interactions as well as in ...
openaire   +2 more sources

SpaMode: A Broadly Applicable Framework for Deciphering Spatial Multi‐Omics Using Multimodal Mixture of Disentangled Experts

Advanced Science, EarlyView.
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng, Xinlei Huang, Xiang Zhou, Dian Meng, Ziyue Qiao, Zhiyuan Yuan, Lixin Cheng   +6 more
wiley   +1 more source

Quantile Reparameterized Regression Model and Machine Learning with Long-Term Survivors

Axioms
We propose a quantile-based survival model that accounts for a cure fraction. By modeling unobserved event causes with a negative binomial distribution and time-to-event with the generalized log-logistic Weibull distribution, we estimate parameters using
Edwin M. M. Ortega, Gabriela M. Rodrigues, Valdemiro P. Vigas, Gauss M. Cordeiro, Vicente G. Cancho, Michael W. Kattan   +5 more
doaj   +1 more source

Methods Of Estimation Of Generalized Negative Binomial Distribution

, 2014
The negative binomial distribution was perhaps the first probability distribution, considered in statistics, whose variance is larger than its mean. On account of wide variety of available discrete distributions, the research workers in applied fields have begun to wonder which distribution would be most suitable one in a particular case and how to ...
Kumar, Abhay, Bharti, Ramesh Chandra, Singh, Sree Kant, Mishra, Amarendra, Singh, Krishna Murari   +4 more
openaire   +1 more source