Results 91 to 100 of about 2,657,458 (337)

Naïve Bayes evidence accumulation K-modes clustering: A new method for classifying binary data and its application on real data of injecting drug users

Journal of Biostatistics and Epidemiology, 2018
Background & Aim: Clustering is the method of classifying discrete data such as Kmodes, and Naïve Bayes classifier is the classification to predict the unknown real classes.
Zahra Zamaninasab, Hamid Sharifi, Abbas Bahrampour   +2 more
doaj  

Insights into pegRNA design from editing of the cardiomyopathy‐associated phospholamban R14del mutation

FEBS Letters, EarlyView.
This study reveals how prime editing guide RNA (pegRNA) secondary structure and reverse transcriptase template length affect prime editing efficiency in correcting the phospholamban R14del cardiomyopathy‐associated mutation. Insights support the design of structurally optimized enhanced pegRNAs for precise gene therapy.
Bing Yao, Qiangbing Yang, Christian J.B. Snijders Blok, Mark A. Daniels, Pieter A. Doevendans, Raymond Schiffelers, Joost P.G. Sluijter, Zhiyong Lei   +7 more
wiley   +1 more source

Incremental Clustering of News Reports

Algorithms, 2012
When an event occurs in the real world, numerous news reports describing this event start to appear on different news sites within a few minutes of the event occurrence.
Christopher Staff, Joel Azzopardi
doaj   +1 more source

CLUTCH: A Clustering-Driven Runtime Estimation Scheme for Scientific Simulations

IEEE Access, 2020
Efficient scheduling among simultaneous simulation jobs is of critical importance in the allocation of limited computing and I/O resources. The difficulty of predicting when a job is completed can cause nontrivial problems for system administrators and ...
Young-Kyoon Suh, Seounghyeon Kim, Jeeyoung Kim   +2 more
doaj   +1 more source

Single‐cell insights into the role of T cells in B‐cell malignancies

FEBS Letters, EarlyView.
Single‐cell technologies have transformed our understanding of T cell–tumor cell interactions in B‐cell malignancies, revealing new T‐cell subsets, functional states, and immune evasion mechanisms. This Review synthesizes these findings, highlighting the roles of T cells in pathogenesis, progression, and therapy response, and underscoring their ...
Laura Llaó‐Cid
wiley   +1 more source

Clustering of Directions Improves Goodness of Fit in Kinematic Data Collected in the Transverse Plane During Robot-Assisted Rehabilitation of Stroke Patients

Frontiers in Robotics and AI, 2018
The kinematic character of hand trajectory in reaching tasks varies by movement direction. Often, direction is not included as a factor in the analysis of data collected during multi-directional reach tasks; consequently, this directionally insensitive ...
Ling Li, Ling Li, John Hartigan, Peter Peduzzi, Peter Peduzzi, Peter Guarino, Peter Guarino, Peter Guarino, Alexander T. Beed, Alexander T. Beed, Xiaotian Wu, Xiaotian Wu, Xiaotian Wu, Michael Wininger, Michael Wininger, Michael Wininger   +15 more
doaj   +1 more source

CLUE: A Fast Parallel Clustering Algorithm for High Granularity Calorimeters in High-Energy Physics

Frontiers in Big Data, 2020
One of the challenges of high granularity calorimeters, such as that to be built to cover the endcap region in the CMS Phase-2 Upgrade for HL-LHC, is that the large number of channels causes a surge in the computing load when clustering numerous ...
Marco Rovere, Ziheng Chen, Antonio Di Pilato, Antonio Di Pilato, Felice Pantaleo, Chris Seez   +5 more
doaj   +1 more source

MET variants with activating N‐lobe mutations identified in hereditary papillary renal cell carcinomas still require ligand stimulation

Molecular Oncology, EarlyView.
MET variants in the N‐lobe of the kinase domain, found in hereditary papillary renal cell carcinoma, require ligand stimulation to promote cell transformation, in contrast to other RTK variants. This suggests that HGF expression in the microenvironment is important for tumor growth in such patients. Their sensitivity to MET inhibitors opens the way for
Célia Guérin, Audrey Vinchent, Marie Fernandes, Isabelle Damour, Agathe Laratte, Rémi Tellier, Gabriella O. Estevam, Jean‐Pascal Meneboo, Céline Villenet, Clotilde Descarpentries, James S. Fraser, Martin Figeac, Alexis B. Cortot, Etienne Rouleau, David Tulasne   +14 more
wiley   +1 more source

SISTEMA SOPORTE A LA DECISIÓN PARA EL AGRUPAMIENTO DE CLIENTES DE BRASCUBA S.A. / DECISION SUPPORT SYSTEM FOR THE CLUSTERING OF BRASCUBA S.A.´S CUSTOMERS

Revista Científica de Ingeniería Industrial, 2013
Se presenta un sistema soporte a la decisión para el agrupamiento de clientes en zonas de distribución, a partir de un problema logístico real de la empresa BRASCUBA S.A., relacionado con la distribución y comercialización de cigarrillos. Se muestran las
Annalay Escalera-Fariñas, M. Gulnara Baldoquin-de la Peña   +1 more
doaj  

Genitores potenciais para hibridações identificados por divergência genética em feijão carioca Bean parents for hybridization identified by genetic divergence in "carioca" bean

Ciência Rural, 2003
Noventa genótipos de feijão carioca (Phaseolus vulgaris L.) foram avaliados, em dois anos agrícolas, em Santa Maria, RS, a fim de definir quais características agromorfológicas constituem-se como melhores descritores, realizar agrupamento em função de ...
Nerinéia Dalfollo Ribeiro, Lindolfo Storck   +1 more
doaj   +1 more source