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Current Issue of PLoSBiology


Current Issue | PLOS Computational Biology
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Table of Contents

July 2024

Integrating AI with next-generation sequencing (NGS) of human immune repertoires has transformative potential for clinical diagnostics. By leveraging machine learning, AI improves diagnostic precision through accurate disease classification, subtype identification, and discovery of immune markers, paving the way for personalized treatment strategies.

Image Credit: Paul Schmidt-Barbo

Education Articles

Ten simple rules for building and maintaining a responsible data science workflow

Sara Stoudt, Yacine Jernite, Brandeis Marshall, Ben Marwick, Malvika Sharan, Kirstie Whitaker, Valentin Danchev

Nine quick tips for open meta-analyses

David Moreau, Kristina Wiebels

Research Articles

Compressive instabilities enable cell-induced extreme densification patterns in the fibrous extracellular matrix: Discrete model predictions

Chrysovalantou Kalaitzidou, Georgios Grekas, Andreas Zilian, Charalambos Makridakis, Phoebus Rosakis

Detection of disease-specific signatures in B cell repertoires of lymphomas using machine learning

Paul Schmidt-Barbo, Gabriel Kalweit, Mehdi Naouar, Lisa Paschold, Edith Willscher, Christoph Schultheiß, Bruno Märkl, Stefan Dirnhofer, Alexandar Tzankov, Mascha Binder, Maria Kalweit

Modeling the impact of neuromorphological alterations in Down syndrome on fast neural oscillations

Pau Clusella, Linus Manubens-Gil, Jordi Garcia-Ojalvo, Mara Dierssen

Joint modeling of choices and reaction times based on Bayesian contextual behavioral control

Sarah Schwöbel, Dimitrije Marković, Michael N. Smolka, Stefan Kiebel

Nonlinear fusion is optimal for a wide class of multisensory tasks

Marcus Ghosh, Gabriel Béna, Volker Bormuth, Dan F. M. Goodman

scBoolSeq: Linking scRNA-seq statistics and Boolean dynamics

Gustavo Magaña-López, Laurence Calzone, Andrei Zinovyev, Loïc Paulevé

Phenotypic memory in quorum sensing

Ghazaleh Ostovar, James Q. Boedicker

Synaptic reorganization of synchronized neuronal networks with synaptic weight and structural plasticity

Kanishk Chauhan, Alexander B. Neiman, Peter A. Tass

Jointly efficient encoding and decoding in neural populations

Simone Blanco Malerba, Aurora Micheli, Michael Woodford, Rava Azeredo da Silveira

PARE: A framework for removal of confounding effects from any distance-based dimension reduction method

Andrew A. Chen, Kelly Clark, Blake E. Dewey, Anna DuVal, Nicole Pellegrini, Govind Nair, Youmna Jalkh, Samar Khalil, Jon Zurawski, Peter A. Calabresi, Daniel S. Reich, Rohit Bakshi, Haochang Shou, Russell T. Shinohara, Alzheimer’s Disease Neuroimaging Initiative, and North American Imaging in Multiple Sclerosis Cooperative

Reinforcement learning of altruistic punishment differs between cultures and across the lifespan

Ziyan Guo, Jialu Yu, Wenxin Wang, Patricia Lockwood, Zhen Wu

Role of diffusion and reaction of the constituents in spreading of histone modification marks

Vinoth Manivannan, Mandar M. Inamdar, Ranjith Padinhateeri

Parameter estimation in a whole-brain network model of epilepsy: Comparison of parallel global optimization solvers

David R. Penas, Meysam Hashemi, Viktor K. Jirsa, Julio R. Banga

Identifying cell states in single-cell RNA-seq data at statistically maximal resolution

Pascal Grobecker, Thomas Sakoparnig, Erik van Nimwegen

Epidemiological modeling of SARS-CoV-2 in white-tailed deer (Odocoileus virginianus) reveals conditions for introduction and widespread transmission

Elias Rosenblatt, Jonathan D. Cook, Graziella V. DiRenzo, Evan H. Campbell Grant, Fernando Arce, Kim M. Pepin, F. Javiera Rudolph, Michael C. Runge, Susan Shriner, Daniel P. Walsh, Brittany A. Mosher

Identifying topologically associating domains using differential kernels

Luka Maisuradze, Megan C. King, Ivan V. Surovtsev, Simon G. J. Mochrie, Mark D. Shattuck, Corey S. O’Hern

Accurate model and ensemble refinement using cryo-electron microscopy maps and Bayesian inference

Samuel E. Hoff, F. Emil Thomasen, Kresten Lindorff-Larsen, Massimiliano Bonomi

Convergence, sampling and total order estimator effects on parameter orthogonality in global sensitivity analysis

Harry Saxton, Xu Xu, Torsten Schenkel, Richard H. Clayton, Ian Halliday

When should lockdown be implemented? Devising cost-effective strategies for managing epidemics amid vaccine uncertainty

Nathan J. Doyle, Fergus Cumming, Robin N. Thompson, Michael J. Tildesley

Fixation times on directed graphs

David A. Brewster, Martin A. Nowak, Josef Tkadlec

Emergent effects of synaptic connectivity on the dynamics of global and local slow waves in a large-scale thalamocortical network model of the human brain

Brianna Marsh, M. Gabriela Navas-Zuloaga, Burke Q. Rosen, Yury Sokolov, Jean Erik Delanois, Oscar C. Gonzalez, Giri P. Krishnan, Eric Halgren, Maxim Bazhenov

Protein stability prediction by fine-tuning a protein language model on a mega-scale dataset

Simon K. S. Chu, Kush Narang, Justin B. Siegel

Quantifying massively parallel microbial growth with spatially mediated interactions

Florian Borse, Dovydas Kičiatovas, Teemu Kuosmanen, Mabel Vidal, Guillermo Cabrera-Vives, Johannes Cairns, Jonas Warringer, Ville Mustonen

Spatial information allows inference of the prevalence of direct cell–to–cell viral infection

Thomas Williams, James M. McCaw, James M. Osborne

Generating information-dense promoter sequences with optimal string packing

Virgile Andreani, Eric J. South, Mary J. Dunlop

A comprehensive exploration of the druggable conformational space of protein kinases using AI-predicted structures

Noah B. Herrington, Yan Chak Li, David Stein, Gaurav Pandey, Avner Schlessinger

A low-dimensional approximation of optimal confidence

Pierre Le Denmat, Tom Verguts, Kobe Desender

FedGMMAT: Federated generalized linear mixed model association tests

Wentao Li, Han Chen, Xiaoqian Jiang, Arif Harmanci

Spatial inequities in access to medications for treatment of opioid use disorder highlight scarcity of methadone providers under counterfactual scenarios

Eric Tatara, Qinyun Lin, Jonathan Ozik, Marynia Kolak, Nicholson Collier, Dylan Halpern, Luc Anselin, Harel Dahari, Basmattee Boodram, John Schneider

A rule-based multiscale model of hepatic stellate cell plasticity: Critical role of the inactivation loop in fibrosis progression

Matthieu Bouguéon, Vincent Legagneux, Octave Hazard, Jérémy Bomo, Anne Siegel, Jérôme Feret, Nathalie Théret

Reassessing the modularity of gene co-expression networks using the Stochastic Block Model

Diogo Melo, Luisa F. Pallares, Julien F. Ayroles

Derivation and simulation of a computational model of active cell populations: How overlap avoidance, deformability, cell-cell junctions and cytoskeletal forces affect alignment

Vivienne Leech, Fiona N. Kenny, Stefania Marcotti, Tanya J. Shaw, Brian M. Stramer, Angelika Manhart

Using deep learning to decipher the impact of telomerase promoter mutations on the dynamic metastatic morpholome

Andres J. Nevarez, Anusorn Mudla, Sabrina A. Diaz, Nan Hao

Population bursts in a modular neural network as a mechanism for synchronized activity in KNDy neurons

Wilfredo Blanco, Joel Tabak, Richard Bertram

Forecasting of influenza activity and associated hospital admission burden and estimating the impact of COVID-19 pandemic on 2019/20 winter season in Hong Kong

Yiu-Chung Lau, Songwei Shan, Dong Wang, Dongxuan Chen, Zhanwei Du, Eric H. Y. Lau, Daihai He, Linwei Tian, Peng Wu, Benjamin J. Cowling, Sheikh Taslim Ali

Multitask learning of a biophysically-detailed neuron model

Jonas Verhellen, Kosio Beshkov, Sebastian Amundsen, Torbjørn V. Ness, Gaute T. Einevoll

Probabilistic neural transfer function estimation with Bayesian system identification

Nan Wu, Isabel Valera, Fabian Sinz, Alexander Ecker, Thomas Euler, Yongrong Qiu

Methods

NeuroMotion: Open-source platform with neuromechanical and deep network modules to generate surface EMG signals during voluntary movement

Shihan Ma, Irene Mendez Guerra, Arnault Hubert Caillet, Jiamin Zhao, Alexander Kenneth Clarke, Kostiantyn Maksymenko, Samuel Deslauriers-Gauthier, Xinjun Sheng, Xiangyang Zhu, Dario Farina

Estimating error rates for single molecule protein sequencing experiments

Matthew Beauregard Smith, Kent VanderVelden, Thomas Blom, Heather D. Stout, James H. Mapes, Tucker M. Folsom, Christopher Martin, Angela M. Bardo, Edward M. Marcotte

Modeling soybean growth: A mixed model approach

Maud Delattre, Yusuke Toda, Jessica Tressou, Hiroyoshi Iwata

Achieving Occam’s razor: Deep learning for optimal model reduction

Botond B. Antal, Anthony G. Chesebro, Helmut H. Strey, Lilianne R. Mujica-Parodi, Corey Weistuch

Detecting and quantifying heterogeneity in susceptibility using contact tracing data

Beth M. Tuschhoff, David A. Kennedy

Software

HPVsim: An agent-based model of HPV transmission and cervical disease

Robyn M. Stuart, Jamie A. Cohen, Cliff C. Kerr, Prashant Mathur, National Disease Modelling Consortium of India, Romesh G. Abeysuriya, Marita Zimmermann, Darcy W. Rao, Mariah C. Boudreau, Serin Lee, Luojun Yang, Daniel J. Klein

BCI Toolbox: An open-source python package for the Bayesian causal inference model

Haocheng Zhu, Ulrik Beierholm, Ladan Shams

NRV: An open framework for in silico evaluation of peripheral nerve electrical stimulation strategies

Thomas Couppey, Louis Regnacq, Roland Giraud, Olivier Romain, Yannick Bornat, Florian Kolbl

nf-core/airrflow: An adaptive immune receptor repertoire analysis workflow employing the Immcantation framework

Gisela Gabernet, Susanna Marquez, Robert Bjornson, Alexander Peltzer, Hailong Meng, Edel Aron, Noah Y. Lee, Cole G. Jensen, David Ladd, Mark Polster, Friederike Hanssen, Simon Heumos, nf-core community, Gur Yaari, Markus C. Kowarik, Sven Nahnsen, Steven H. Kleinstein