Results 31 to 40 of about 23,068 (215)

Approaches for integrating heterogeneous RNA-seq data reveal cross-talk between microbes and genes in asthmatic patients

open access: yesGenome Biology, 2020
Sputum induction is a non-invasive method to evaluate the airway environment, particularly for asthma. RNA sequencing (RNA-seq) of sputum samples can be challenging to interpret due to the complex and heterogeneous mixtures of human cells and exogenous ...
Daniel Spakowicz   +11 more
doaj   +1 more source

Hyperspectral Unmixing with Endmember Variability using Partial Membership Latent Dirichlet Allocation

open access: yes, 2016
The application of Partial Membership Latent Dirichlet Allocation(PM-LDA) for hyperspectral endmember estimation and spectral unmixing is presented. PM-LDA provides a model for a hyperspectral image analysis that accounts for spectral variability and ...
Zare, Alina, Zou, Sheng
core   +1 more source

Leveraging Global and Local Topic Popularities for LDA-Based Document Clustering

open access: yesIEEE Access, 2020
Document clustering is of high importance for many natural language technologies. A wide range of computational traditional topic models, such as LDA (Latent Dirichlet Allocation) and its variants, have made great progress. However, traditional LDA-based
Peng Yang, Yu Yao, Huajian Zhou
doaj   +1 more source

A Microblog Hot Topic Mining Method Integrating Tag Semantics [PDF]

open access: yesJisuanji gongcheng, 2019
Due to the short length of the microblog text,the direct use of Latent Dirichlet Allocation(LDA) model will lead to high-dimensional sparse feature vectors.Thus,a hot topic mining method integrating tag semantics is proposed.The common block algorithm is
ZHOU Fuxing, CHEN Xiuzhen, MA Jin, LI Shenghong
doaj   +1 more source

Multi-angle Personalized Microblog Recommendation Algorithm Based on LDA Model [PDF]

open access: yesJisuanji gongcheng, 2017
Using Latent Dirichlet Allocation(LDA) to mine topics which users are interested in is the most popular topic-mining method.In order to improve users′ experience and recommend fresh microblog which users are interested,this paper puts forward a multi ...
SUN Yujie,QIN Yongbin
doaj   +1 more source

Extending Information Retrieval Methods to Personalized Genomic-Based Studies of Disease

open access: yesCancer Informatics, 2014
Genomic-based studies of disease now involve diverse types of data collected on large groups of patients. A major challenge facing statistical scientists is how best to combine the data, extract important features, and comprehensively characterize the ...
Shuyun Ye   +2 more
doaj   +1 more source

Evolution of Integrated Marketing Communication Research through Latent Dirichlet Allocation (LDA) Analysis [PDF]

open access: yesJournal of Emerging Trends in Marketing and Management, 2020
Integrated Marketing Communication (IMC) is an area that emerged as a shift in the way MarCom departments were functioning at the beginning of 90's. For the last 30 years, the concept evolved from being a tactical set of actions to a customer-focused ...
Alina Popa, Raluca-Ecaterina Brandabur
doaj  

gnSPADE: Incorporating Gene Network Structures Enhances Reference‐Free Deconvolution in Spatial Transcriptomics

open access: yesAdvanced Intelligent Systems, EarlyView.
gnSPADE integrates gene‐network structures into a probabilistic topic modeling framework to achieve reference‐free cell‐type deconvolution in spatial transcriptomics. By embedding gene connectivity within the generative process, gnSPADE enhances biological interpretability and accuracy across simulated and real datasets, revealing spatial organization ...
Aoqi Xie, Yuehua Cui
wiley   +1 more source

On a Topic Model for Sentences

open access: yes, 2016
Probabilistic topic models are generative models that describe the content of documents by discovering the latent topics underlying them. However, the structure of the textual input, and for instance the grouping of words in coherent text spans such as ...
Amini, Massih-Reza   +2 more
core   +2 more sources

Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models

open access: yesApplied Stochastic Models in Business and Industry, EarlyView.
ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco   +4 more
wiley   +1 more source

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