Results 31 to 40 of about 443,004 (222)
MetaLDA: a Topic Model that Efficiently Incorporates Meta information
, 2017 Besides the text content, documents and their associated words usually come with rich sets of meta informa- tion, such as categories of documents and semantic/syntactic features of words, like those encoded in word embeddings.
Buntine, Wray +3 more
core +1 more source
Extracting a Topic Specific Dataset from a Twitter Archive [PDF]
, 2015 Datasets extracted from the microblogging service Twitter are often generated using specific query terms or hashtags. We describe how a dataset produced using the query term ‘syria’ can be increased in size to include tweets on the topic of Syria that do not contain that query term.
Beatrice Alex +4 more
openaire +2 more sources
Molecular Oncology, EarlyView.In this explorative biomarker analysis, we assessed serial sampling of circulating tumor cells (CTCs) with CellSearch in two randomized trials testing immune checkpoint inhibitors (ICIs) in metastatic breast cancer. Our data demonstrate a prognostic potential of CTCs, most apparent 4 weeks into ICI therapy.
Nikolai Kragøe Andresen +13 more
wiley +1 more source
A Topic Modeling Approach to Ranking [PDF]
, 2015 We propose a topic modeling approach to the prediction of preferences in pairwise comparisons. We develop a new generative model for pairwise comparisons that accounts for multiple shared latent rankings that are prevalent in a population of users.
Ding, Weicong +2 more
core
Finding Topic Experts in the Twitter Dataset Using LDA Algorithm
International Journal of Applied Evolutionary Computation, 2018 In microblogging services like Twitter, the expert judgment problem has gained increasing attention in social media. Twitter is a new type of social media that provides a publicly available way for users to publish 140-character short messages (tweets). However, previous methods cannot be directly applied to twitter experts finding problems.
Ashwini Anandrao Shirolkar +1 more
openaire +1 more source
Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors
Molecular Oncology, EarlyView.Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi +6 more
wiley +1 more source
Political attention to environmental issues: Analyzing policy punctuations in the Netherlands [PDF]
, 2009 One of the most dramatized features in Al Gore's movie The Inconvenient Truth is the effects of a rising sea-level in the Netherlands. The film is an example of how the mobilization of bias in the Netherlands resulted in sudden high levels of attention ...
Breeman, G.E., Timmermans, A.
core +1 more source
Molecular Oncology, EarlyView.This study demonstrates that KRAS and GNAS mutations are more prevalent in patients with resected intraductal papillary mucinous neoplasms (IPMN) compared to those under clinical surveillance. GNAS mutations significantly differ between the two patient cohorts, indicating that their absence may serve as a potential biomarker to support conservative ...
Christine Nitschke +12 more
wiley +1 more source
Molecular Oncology, EarlyView.The authors analyzed the spatial distributions of gene and metabolite profiles in cervical cancer through spatial transcriptomic and spatially resolved metabolomic techniques. Pivotal genes and metabolites within these cases were then identified and validated.
Lixiu Xu +3 more
wiley +1 more source
Online Tensor Methods for Learning Latent Variable Models [PDF]
, 2015 We introduce an online tensor decomposition based approach for two latent variable modeling problems namely, (1) community detection, in which we learn the latent communities that the social actors in social networks belong to, and (2) topic modeling, in
Anandkumar, Animashree +3 more
core +2 more sources