Results 41 to 50 of about 119,587 (309)
Finding novel vulnerabilities of hypomorphic BRCA1 alleles
Molecular Oncology, EarlyView.Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder +10 more
wiley +1 more source
Brain-XThe timely detection and precise classification of brain tumors using techniques such as magnetic resonance imaging (MRI) are imperative for optimizing treatment strategies and improving patient outcomes.
Gowtham Murugesan +2 more
doaj +1 more source
Using Statistical Properties to Enhance Text Categorization [PDF]
Journal of Systemics, Cybernetics and Informatics, 2015 Statistical properties extracted from text are useful in many areas. Knowing who authored some text or knowing the category of a text is among the uses of collecting such statistics.
Rached Zantout, Ziad Osman
doaj
ISPRS International Journal of Geo-Information, 2021 The use of social media data provided powerful data support to reveal the spatiotemporal characteristics and mechanisms of human activity, as it integrated rich spatiotemporal and textual semantic information.
Jian Liu +5 more
doaj +1 more source
Data Mining Techniques for Text Mining
Indian Journal of Science and Technology, 2016 Semantic text mining is an abstraction of acknowledge based on the meaning. Semantic terms are explained, phrases or words. The searching terms concern their weight is computed corresponding to their synonyms, and the term which has maximum weight is at the top.
Gagandeep Kaur, Hardeep Singh
openaire +1 more source
A review of associative classification mining [PDF]
, 2007 Associative classification mining is a promising approach in data mining that utilizes the association rule discovery techniques to construct classification systems, also known as associative classifiers.
Fadi Abdeljaber Thabtah, Thabtah, Fadi
core +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
Frontiers in Public Health, 2022 Under the epidemic situation of COVID-19, university students have different levels of anxiety, depression, and other psychological problems, and these differing levels present different challenges. Therefore, universities and relevant departments should
Zuqin Lu, Zuqin Lu
doaj +1 more source
A Review on Text Mining in Data Mining
International Journal on Soft Computing, 2016 Data mining is the knowledge discovery in databases and the gaol is to extract patterns and knowledge from large amounts of data. The important term in data mining is text mining. Text mining extracts the quality information highly from text. Statistical pattern learning is used to high quality information.
Yogapreethi.N, Maheswari.S
openaire +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source