Results 31 to 40 of about 79,268 (265)

Anticipating On‐Target and Off‐Target Effects of CRISPR/Cas9 Genome Editing Via a Feedforward Neural Network Model

Medicine Advances
Background Clustered regularly interspaced short palindromic repeats —CRISPR‐associated protein 9 (CRISPR/Cas9) is a gene editing technology that can deliver highly precise genome editing.
Pavithra Nagendran, Gowtham Murugesan, Jeyakumar Natarajan   +2 more
doaj   +1 more source

E. coli K12 as a dysbiosis-driven catalyst in colorectal cancer: In silico identification of cross-species protein-protein interactions

Medicine in Microecology
Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide. Emerging evidence suggests that gut microbiota plays a crucial role in the development and progression of CRC, with dysbiosis being strongly associated with ...
Sharvari Sawant, Prabhu Meganathan, Jeyakumar Natarajan, Hemamalini Vedagiri   +3 more
doaj   +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, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

Advancing brain tumor diagnosis: Deep siamese convolutional neural network as a superior model for MRI classification

Brain-X
The 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, Pavithra Nagendran, Jeyakumar Natarajan   +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  

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, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +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

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Text Data Mining of English Interviews [PDF]

, 2015
An “interview” is the technique to gain the particular data effectively which the interviewers want to know through the conversation. In this paper, we metrically analyzed some English interviews: Larry King Live on CNN, and compared these with English news (CNN Live Today) and the inaugural addresses of the three U.S. Presidents.
Ban, Hiromi, Kimura, Haruhiko, Oyabu, Takashi, Minagawa, Jun   +3 more
openaire   +2 more sources