Results 61 to 70 of about 843,626 (294)
Molecular Oncology, EarlyView.To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
A survey on unequal clustering protocols in Wireless Sensor Networks
Journal of King Saud University: Computer and Information Sciences, 2019 WSN became a key technology for ubiquitous living and remains an active research due to wide range of applications. Energy awareness is a critical design issue in WSN.
Sariga Arjunan, Sujatha Pothula
doaj +1 more source
Adiabatic quantum algorithm for multijet clustering in high energy physics
Physics Letters B, 2023 The currently predicted increase in computational demand for the upcoming High-Luminosity Large Hadron Collider (HL-LHC) event reconstruction, and in particular jet clustering, is bound to challenge present day computing resources, becoming an even more ...
Diogo Pires, Yasser Omar, João Seixas
doaj +1 more source
Molecular Oncology, EarlyView.This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns +10 more
wiley +1 more source
A Differential Evolution-Based Clustering for Probability Density Functions
IEEE Access, 2018 Clustering for probability density functions (CDFs) has recently emerged as a new interest technique in statistical pattern recognition because of its potential in various practical issues.
Ho Kieu Diem +4 more
doaj +1 more source
Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma
Molecular Oncology, EarlyView.The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic +5 more
wiley +1 more source
A Constraint Programming approach to solve the clustering problem in open-pit mine planning [PDF]
REM: International Engineering JournalSince the open-pit precedence-constrained production scheduling problem is an NP-hard problem, solving it is always a challenging task, especially from a long-term perspective because a mineral deposit containing millions of blocks would require several ...
Jorge Luiz Valença Mariz +2 more
doaj +1 more source
Constrained Clustering for the Capacitated Vehicle Routing Problem (CC-CVRP)
Applied Artificial Intelligence, 2022 eCommerce, postal and logistics’ planners require to solve large-scale capacitated vehicle routing problems (CVRPs) on a daily basis. CVRP problems are NP-Hard and cannot be easily solved for large problem instances.
Francesco Alesiani +2 more
doaj +1 more source
Feature Selection in k-Median Clustering [PDF]
, 2004 An e ective method for selecting features in clustering unlabeled data is proposed based on changing the objective function of the standard k-median clustering algorithm.
Mangasarian, Olvi, Wild, Edward
core +1 more source
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source