Results 91 to 100 of about 208,737 (313)
Informatics in Medicine Unlocked, 2019 Salmonella typhi is a Gram-negative pathogen that causes severe systemic infections like typhoid fever and gastrointestinal disease in humans. PgtE belongs to the Omptin family, and plays a central role at the host-pathogen interface.
Gopinath Samykannu +2 more
doaj
Advanced Science, EarlyView.Overview of the Genetic Deafness Commons (GDC), integrating data from the Chinese Deafness Genetics Consortium (CDGC) and 51 public databases. The GDC provides tools for variant search, functional predictions, and gene‐disease visualization, offering insights into 201 hearing loss genes and facilitating novel gene discovery and clinical applications ...
Hui Cheng +11 more
wiley +1 more source
Informatics in Medicine Unlocked, 2018 Salmonella typhi are Gram-negative pathogen causes severe systemic infections like typhoid fever and gastrointestinal disease in humans. PgtE belongs to Omptin family, plays a central role at the host-pathogen interface. In the present study, S.
Gopinath Samykannu +2 more
doaj
Advances in Symbiotic Bioabsorbable Devices
Advanced Science, EarlyView.This review focuses on recent advances in bioabsorbable devices. This review concludes innovation at the material, device, and system levels, the significant advances toward biomedical applications. This review discusses and highlights the challenges and trends in symbiotic bioresorbable electronics, and provides a new direction for the development of ...
Chang Zhu +3 more
wiley +1 more source
On Utilization and Importance of Perl Status Reporter (SRr) in Text Mining [PDF]
International Journal of Computer Science and Information
Security, IJCSIS, Vol. 6, No. 3, pp. 253-259, December 2009, USA, 2010 In Bioinformatics, text mining and text data mining sometimes interchangeably used is a process to derive high-quality information from text. Perl Status Reporter (SRr) is a data fetching tool from a flat text file and in this research paper we illustrate the use of SRr in text or data mining.
arxiv
Machine Learning‐Enabled Drug‐Induced Toxicity Prediction
Advanced Science, EarlyView.Unexpected toxicity accounts for 30% of drug development failures. This review highlights ML innovations in predicting drug‐induced toxicity, emphasizing comparative analyses, interpretable algorithms, and multi‐source data integration. It categorizes toxicity types, summarizes ML models, and organizes key databases, offering strategies to address ...
Changsen Bai +5 more
wiley +1 more source
Cancer Communications, Volume 42, Issue 12, Page 1288-1313, December 2022., 2022 Abstract Soft‐tissue sarcomas (STS) represent a group of rare and heterogeneous tumors associated with several challenges, including incorrect or late diagnosis, the lack of clinical expertise, and limited therapeutic options. Digital pathology and radiomics represent transformative technologies that appear promising for improving the accuracy of ...
Amandine Crombé +2 more
wiley +1 more source
Advanced Science, EarlyView.ProteoSeeker is a new metagenomic analysis tool that accelerates protein discovery. By automating key steps, it reduces computational complexity and enables comprehensive dataset analysis, performing protein identification, screening based on user‐defined protein families, and taxonomic analysis.
Georgios Filis +6 more
wiley +1 more source
Understanding Therapeutic Change Process Research Through Multilevel Modeling and Text Mining
Frontiers in Psychology, 2019 Online interventions hold great potential for Therapeutic Change Process Research (TCPR), a field that aims to relate in-therapeutic change processes to the outcomes of interventions.
Wouter A. C. Smink +6 more
doaj +1 more source
Sentiment Analysis: A Survey [PDF]
arXiv, 2014 Sentiment analysis (also known as opinion mining) refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. Mining opinions expressed in the user generated content is a challenging yet practically very useful problem.
arxiv