Results 41 to 50 of about 140,502 (288)

A modular architecture for systematic text categorisation [PDF]

This work examines and attempts to overcome issues caused by the lack of formal standardisation when defining text categorisation techniques and detailing how they might be appropriately integrated with each other.
Barnes, Andrew James
core   +3 more sources

Text and Image Compression based on Data Mining Perspective

Data Science Journal, 2018
Data Compression has been one of the enabling technologies for the on-going digital multimedia revolution for decades which resulted in renowned algorithms like Huffman Encoding, LZ77, Gzip, RLE and JPEG etc.
C. Oswald, B. Sivaselvan
doaj   +1 more source

The Role of Text Pre-processing in Sentiment Analysis [PDF]

, 2013
It is challenging to understand the latest trends and summarise the state or general opinions about products due to the big diversity and size of social media data, and this creates the need of automated and real time opinion extraction and mining ...
Liu, X, Haddi, E, Shi, Y, Shi, Yong, Haddi, Emma, Liu, Xiaohui, Henríquez Miranda, Carlos, Salcedo, Dixon, Briceño Díaz, Freddy   +8 more
core   +1 more source

Radiogenomic-based prediction of genetic alterations in oncogenic signaling pathways in lung cancer

Egyptian Journal of Medical Human Genetics
Rationale and objectives Lung adenocarcinoma, a type of non-small cell lung cancer (NSCLC), originates from the peripheral lung tissue and is the most prevalent histologic subtype, constituting around 40% of cases.
Priyadharshini Jayachandran, Gowtham Murugesan, Jeyakumar Natarajan   +2 more
doaj   +1 more source

Scalable Text Mining with Sparse Generative Models [PDF]

, 2015
The information age has brought a deluge of data. Much of this is in text form, insurmountable in scope for humans and incomprehensible in structure for computers.
Puurula, Antti
core  

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, Klaas de Lint, Hồ Mỹ Phúc Võ, Mariana M. Góis, Rosalie A. Kampen, Marta San Martin Alonso, Ilse Nootenboom, Veronica Garzero, Tiemen J. Wendel, Rob M. F. Wolthuis, Sylvie M. Noordermeer   +10 more
wiley   +1 more source

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