Results 41 to 50 of about 3,133,945 (255)
NS-DBSCAN: A Density-Based Clustering Algorithm in Network Space
ISPRS International Journal of Geo-Information, 2019 Spatial clustering analysis is an important spatial data mining technique. It divides objects into clusters according to their similarities in both location and attribute aspects.
Tianfu Wang +3 more
doaj +1 more source
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Emerging experimental and computational methods for studying redox‐regulated structural transitions
FEBS Letters, EarlyView.Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
Prospecting the protein design landscape
FEBS Letters, EarlyView.This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source
Spherical k-Means Clustering [PDF]
, 2012 Clustering text documents is a fundamental task in modern data analysis, requiring approaches which perform well both in terms of solution quality and computational efficiency.
Kurt Hornik +7 more
core +1 more source
A K-means Algorithm Based On Feature Weighting
MATEC Web of Conferences, 2018 Cluster analysis is a statistical analysis technique that divides the research objects into relatively homogeneous groups. The core of cluster analysis is to find useful clusters of objects.
Xu Yan +4 more
doaj +1 more source
Data Analysis of College Students’ Mental Health Based on Clustering Analysis Algorithm
Complexity, 2021 Mental health is an important basic condition for college students to become adults. Educators gradually attach importance to strengthening the mental health education of college students.
Yichen Chu, Xiaojian Yin
doaj +1 more source
Molecular Oncology, EarlyView.Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source
DDG-clustering: a novel technique for highly accurate results [PDF]
, 2009 A key to the success of any clustering algorithm is the similarity measure applied. The similarity among different instances is defined according to a particular criterion.
Gaber, Mohamed Medhat +3 more
core
Mining Of Resource Usage Using Evoc Algorithm In Grid Environment. [PDF]
, 2007 This paper addresses the new algorithm namely Evolving Clustering (Evoc A1goritbm) which is an improved version of Evolving Clustering Method (ECM). The algorithm bas been evaluated using three main criteria; that is dynamicity, accuracy and the ability
Kee, Sim Ee +2 more
core +1 more source