Results 41 to 50 of about 23,233,852 (373)

Data Mining in Electronic Commerce

, 2006
Modern business is rushing toward e-commerce. If the transition is done properly, it enables better management, new services, lower transaction costs and better customer relations.
Banks, David L., Said, Yasmin H.
core   +1 more source

Efficient Analysis of Pattern and Association Rule Mining Approaches

, 2014
The process of data mining produces various patterns from a given data source. The most recognized data mining tasks are the process of discovering frequent itemsets, frequent sequential patterns, frequent sequential rules and frequent association rules.
Lazzez, Amor, Slimani, Thabet
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

A comprehensive evaluation of module detection methods for gene expression data

Nature Communications, 2018
Modules composed of groups of genes with similar expression profiles tend to be functionally related and co-regulated. Here, Saelens et al evaluate the performance of 42 computational methods and provide practical guidelines for module detection in gene ...
Wouter Saelens, Robrecht Cannoodt, Yvan Saeys   +2 more
doaj   +1 more source

Automatic Landform Recognition from the Perspective of Watershed Spatial Structure Based on Digital Elevation Models

Remote Sensing, 2021
Landform recognition is one of the most significant aspects of geomorphology research, which is the essential tool for landform classification and understanding geomorphological processes.
Siwei Lin, Nan Chen, Zhuowen He
doaj   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

Characteristics of Cerebral Palsy in the Midwestern US

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cerebral palsy (CP) is the most common lifelong motor disability worldwide. Yet, data is limited on how CP manifests in the US. Our objective was to characterize and determine factors affecting functional outcomes in a large population of young people with CP in the Midwestern US.
Susie Kim, Kelsey Steffen, Lauren Gottschalk‐Henneberry, Jennifer Miros, Amy Robichaux‐Viehoever, Karen Taca, Bhooma R. Aravamuthan   +6 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

The benefits of data mining

eLife, 2017
Careful analysis of a database populated by physicians and patients sheds new light on the side effects of drugs.
Keith A. Houck, Audrey J. Bone
openaire   +4 more sources

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source