Results 91 to 100 of about 229,295 (345)
Random sampling as a clutter reduction technique to facilitate interactive visualisation of large datasets [PDF]
, 2008 Within our physical world lies a digital world populated with an ever increasing number of sizeable data collections. Exploring these large datasets for patterns or trends is a difficult and complex task, especially when users do not always know what ...
Ellis, Geoffrey
core
Topic Modeling: Exploring the Processes, Tools, Challenges and Applications
, 2023 Topic modeling is a data analysis technique that has become increasingly popular in recent years due to the growing availability of large datasets.
Mohammad Mohammadi (15466445) +1 more
core +1 more source
Molecular Oncology, EarlyView.Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat +8 more
wiley +1 more source
The Físchlár-News-Stories system: personalised access to an archive of TV news [PDF]
, 2004 The “Físchlár” systems are a family of tools for capturing, analysis, indexing, browsing, searching and summarisation of digital video information. Físchlár-News-Stories, described in this paper, is one of those systems, and provides access to a growing ...
Murphy, Noel +10 more
core
Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder
Conference on Empirical Methods in Natural Language Processing, 2020 Topic models have been prevailing for many years on discovering latent semantics while modeling long documents. However, for short texts they generally suffer from data sparsity because of extremely limited word co-occurrences; thus tend to yield ...
Xiaobao Wu +3 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
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
Topic analysis for topic-focused multi-document summarization
, 2009 Topic-focused multi-document summarization has been a challenging task because the created summary is required to be biased to the given topic or query.
Wan, Xiaojun, Xiaojun Wan
core +1 more source
COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells
Molecular Oncology, EarlyView.This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos +6 more
wiley +1 more source
User–Topic Modeling for Online Community Analysis
Applied Sciences, 2020 Analyzing user behavior in online spaces is an important task. This paper is dedicated to analyzing the online community in terms of topics. We present a user–topic model based on the latent Dirichlet allocation (LDA), as an application of topic modeling
Sung-Hwan Kim, Hwan-Gue Cho
doaj +1 more source