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2024

Новости за 17.04.2024

MMM and MMMSynth: Clustering of heterogeneous tabular data, and synthetic data generation

Plos.org 

by Chandrani Kumari, Rahul Siddharthan

We provide new algorithms for two tasks relating to heterogeneous tabular datasets: clustering, and synthetic data generation. Tabular datasets typically consist of heterogeneous data types (numerical, ordinal, categorical) in columns, but may also have hidden cluster structure in their rows: for example, they may be drawn from heterogeneous (geographical, socioeconomic, methodological) sources, such that the outcome variable they describe (such as the... Читать дальше...

Perceived needs of disease vector control programs: A review and synthesis of (sub)national assessments from South Asia and the Middle East

Plos.org 

by Henk van den Berg, Kabirul Bashar, Rajib Chowdhury, Rajendra M. Bhatt, Hardev Prasad Gupta, Ashwani Kumar, Shanmugavelu Sabesan, Ananganallur N. Shriram, Hari Kishan Raju Konuganti, Akhouri T. S. Sinha, Mohammad Mehdi Sedaghat, Ahmadali Enayati, Hameeda Mohammed Hassan, Aishath Shaheen Najmee, Sana Saleem, Surendra Uranw, Pahalagedera H. D. Kusumawathie, Devika Perera, Mohammed A. Esmail, Lauren B. Carrington, Samira M. Al-Eryani, Roop Kumari, Bhupender N. Nagpal, Sabera Sultana, Raman Velayudhan, Rajpal S. Читать дальше...

Edge Artificial Intelligence (AI) for real-time automatic quantification of filariasis in mobile microscopy

Plos.org 

by Lin Lin, Elena Dacal, Nuria Díez, Claudia Carmona, Alexandra Martin Ramirez, Lourdes Barón Argos, David Bermejo-Peláez, Carla Caballero, Daniel Cuadrado, Oscar Darias-Plasencia, Jaime García-Villena, Alexander Bakarjiev, Maria Postigo, Ethan Recalde-Jaramillo, Maria Flores-Chavez, Andrés Santos, María Jesús Ledesma-Carbayo, José M. Rubio, Miguel Luengo-Oroz

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Potential impact of annual vaccination with reformulated COVID-19 vaccines: Lessons from the US COVID-19 scenario modeling hub

Plos.org 

by Sung-mok Jung, Sara L. Loo, Emily Howerton, Lucie Contamin, Claire P. Smith, Erica C. Carcelén, Katie Yan, Samantha J. Bents, John Levander, Jessi Espino, Joseph C. Lemaitre, Koji Sato, Clifton D. McKee, Alison L. Hill, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Alessandro Vespignani, Erik T. Rosenstrom, Sebastian A. Rodriguez-Cartes, Julie S. Ivy, Maria E. Mayorga, Julie L. Swann, Guido España, Sean Cavany, Sean M. Moore, T. Alex Perkins, Shi Chen, Rajib Paul, Daniel Janies, Jean-Claude Thill... Читать дальше...

Bayesian approach to assessing population differences in genetic risk of disease with application to prostate cancer

Plos.org 

by Iain R. Timmins, The PRACTICAL Consortium , Frank Dudbridge

Population differences in risk of disease are common, but the potential genetic basis for these differences is not well understood. A standard approach is to compare genetic risk across populations by testing for mean differences in polygenic scores, but existing studies that use this approach do not account for statistical noise in effect estimates (i.e., the GWAS betas) that arise due to the finite sample size of GWAS training data. Читать дальше...

Encoding surprise by retinal ganglion cells

Plos.org 

by Danica Despotović, Corentin Joffrois, Olivier Marre, Matthew Chalk

The efficient coding hypothesis posits that early sensory neurons transmit maximal information about sensory stimuli, given internal constraints. A central prediction of this theory is that neurons should preferentially encode stimuli that are most surprising. Previous studies suggest this may be the case in early visual areas, where many neurons respond strongly to rare or surprising stimuli. For example, previous research... Читать дальше...

CoVar: A generalizable machine learning approach to identify the coordinated regulators driving variational gene expression

Plos.org 

by Satyaki Roy, Shehzad Z. Sheikh, Terrence S. Furey

Network inference is used to model transcriptional, signaling, and metabolic interactions among genes, proteins, and metabolites that identify biological pathways influencing disease pathogenesis. Advances in machine learning (ML)-based inference models exhibit the predictive capabilities of capturing latent patterns in genomic data. Such models are emerging as an alternative to the statistical models identifying causative factors driving complex diseases. Читать дальше...

CFDP1 regulates the stability of pericentric heterochromatin thereby affecting RAN GTPase activity and mitotic spindle formation

Plos.org 

by Gokul Gopinathan, Qian Xu, Xianghong Luan, Thomas G. H. Diekwisch

The densely packed centromeric heterochromatin at minor and major satellites is comprised of H3K9me2/3 histones, the heterochromatin protein HP1α, and histone variants. In the present study, we sought to determine the mechanisms by which condensed heterochromatin at major and minor satellites stabilized by the chromatin factor CFDP1 affects the activity of the small GTPase Ran as a requirement for spindle formation. CFDP1... Читать дальше...

Letter to the editor: Candidate thanks Vernon County District 7

«La Crosse Tribune» (lacrossetribune.com) 

I want to publicly thank the residents of District 7 for your support and encouragement during my campaign for the Vernon County Board. It has been my pleasure to represent you and work with former and current County Board Supervisors…

DS Interview: Jake Burns, of Stiff Little Fingers, talks about the band’s final coast-to-coast US tour, new adventures, and more

Dying Scene 

Main photo by Will Byington Stiff Little Fingers (SLF) is embarking on its final coast-to-coast North American tour. The tour also celebrates the 45th anniversary of the band’s seminal debut album, Inflammable Material. I caught up with SLF’s founder and frontman, Jake Burns, in advance of the tour’s commencement. Jake Burns founded Stiff Little Fingers […]





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