Results 31 to 40 of about 119,353 (308)

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

Adaptive text mining: Inferring structure from sequences

, 2004
Text mining is about inferring structure from sequences representing natural language text, and may be defined as the process of analyzing text to extract information that is useful for particular purposes.
Witten, Ian H.
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

Text and Data Mining [PDF]

, 2021
L'analyse des masses de données textuelles nécessite l'utilisation de méthodes mêlant harmonieusement différentes disciplines comme l'informatique, la linguistique ou les statistiques. L'ensemble de ces méthodes utiles pour traiter de telles données, souvent hétérogènes, forme le socle de la Science des Données Textuelles.
openaire   +2 more sources

Interpreting the effects of DNA polymerase variants at the structural level

Molecular Oncology, EarlyView.
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi, Karolina Krzesińska, Ludovica Beltrame, Pablo Sánchez‐Izquierdo Besora, Matteo Tiberti, Mef Nilbert, Anna Rohlin, Elena Papaleo   +7 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

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

Text Analytics for Android Project

, 2014
Most advanced text analytics and text mining tasks include text classification, text clustering, building ontology, concept/entity extraction, summarization, deriving patterns within the structured data, production of granular taxonomies, sentiment and ...
Jackute, Ieva, Seniut, Mark, Safonov, Andrej, Kuzminske, Agne, Amaratunga, Dilanthi, Kaklauskas, Arturas, Vatin, Nikolai, Peciure, Lina, Lill, Irene, Cerkauskas, Justas   +9 more
core   +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   +5 more
core   +1 more source