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Cluster analysis

Machine learning utilising spectral derivative data improves cellular health classification through hyperspectral infra-red spectroscopy

Ben O. L. Mellors, Abigail M. Spear, [ ... ], Hamid Dehghani

Acquisition of handwriting in children with and without dysgraphia: A computational approach

Thomas Gargot, Thibault Asselborn, [ ... ], Caroline Jolly

Modeling future spread of infections via mobile geolocation data and population dynamics. An application to COVID-19 in Brazil

Pedro S. Peixoto, Diego Marcondes, Cláudia Peixoto, Sérgio M. Oliva

Solving text clustering problem using a memetic differential evolution algorithm

Hossam M. J. Mustafa, Masri Ayob, Dheeb Albashish, Sawsan Abu-Taleb

Principal component analysis of blood microRNA datasets facilitates diagnosis of diverse diseases

Stacy L. Sell, Steven G. Widen, Donald S. Prough, Helen L. Hellmich

Identification of feature risk pathways of smoking-induced lung cancer based on SVM

Rongjun Chen, Jinhui Lin

Design of composite measure schemes for comparative severity assessment in animal-based neuroscience research: A case study focussed on rat epilepsy models

Roelof Maarten van Dijk, Ines Koska, [ ... ], Heidrun Potschka

COMBSecretomics: A pragmatic methodological framework for higher-order drug combination analysis using secretomics

Efthymia Chantzi, Michael Neidlin, [ ... ], Mats G. Gustafsson

Implementation of maternity protection legislation: Gynecologists’ perceptions and practices in French-speaking Switzerland

Alessia Abderhalden-Zellweger, Isabelle Probst, [ ... ], Peggy Krief

The fractal structure of communities of practice: Implications for business organization

Emily Webber, Robin Dunbar

Circulating miRNome detection analysis reveals 537 miRNAS in plasma, 625 in extracellular vesicles and a discriminant plasma signature of 19 miRNAs in children with retinoblastoma from which 14 are also detected in corresponding primary tumors

Blanca Elena Castro-Magdonel, Manuela Orjuela, [ ... ], M. Verónica Ponce-Castañeda

The role of mainstreamness and interdisciplinarity for the relevance of scientific papers

Stefan Thurner, Wenyuan Liu, Peter Klimek, Siew Ann Cheong

Salivary molecular spectroscopy: A sustainable, rapid and non-invasive monitoring tool for diabetes mellitus during insulin treatment

Douglas C. Caixeta, Emília M. G. Aguiar, [ ... ], Robinson Sabino-Silva

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