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11/08/2018

Benchmarking Article

Systematically benchmarking peptide-MHC binding predictors: From synthetic to naturally processed epitopes

Providing comprehensive benchmarking of existing algorithms on blind testing dataset is important for recognizing the pros and cons of different algorithms and providing guidelines on specific applications. Zhao et al. present a study of such benchmarking by characterizing on a wide array of accuracy metrics, highlighting the best-in-class algorithms as well as their limitations.

Image credit: Zhao et al.

Systematically benchmarking peptide-MHC binding predictors: From synthetic to naturally processed epitopes

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Current Issue October 2018

11/08/2018

Editorial

Putting benchmarks in their rightful place: The heart of computational biology

Research in computational biology has given rise to a vast number of methods developed to solve scientific problems. Researchers can have a hard time deciding which tool to select to address a scientific challenge, as almost all publications introducing a new method will claim better performance than all others. Not all of these claims can be correct. The obvious answer to this conundrum is to develop benchmarks.

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Putting benchmarks in their rightful place: The heart of computational biology

11/08/2018

Research Article

The Cultural Brain Hypothesis: How culture drives brain expansion, sociality, and life history

Humans have extraordinarily large brains, which tripled in size in the last few million years. These increases are puzzling, because brain tissue is energetically expensiveβ€”a smaller brain is easier to maintain in terms of calories. Muthukrishna et al. present a theory, captured in an analytic and computational model, that explains these increases in brain size: The Cultural Brain Hypothesis.

The Cultural Brain Hypothesis: How culture drives brain expansion, sociality, and life history

Image credit: Neil Conway/Flickr.

11/05/2018

Research Article

Prediction and classification in equation-free collective motion dynamics

Collective motion has been usually modeled by simple interaction rules and explained by global statistics. Fujii et al. introduce decomposition methods to directly extract and classify the latent global dynamics of nonlinear dynamical systems in an equation-free manner, even including complex interaction in few data dimensions.

Prediction and classification in equation-free collective motion dynamics

Image credit: Fujii et al.

11/01/2018

Research Article

Active dendrites regulate the spatiotemporal spread of signaling microdomains

Studies have demonstrated a critical role for cellular morphology and the topology of signaling networks in regulating the spread of biochemical signals in neurons and other cells. Basak et al. add complexity to this narrative by demonstrating that voltage-gated ion channels on the plasma membrane could actively amplify or suppress the strength/spread of downstream signaling components.

Active dendrites regulate the spatiotemporal spread of signaling microdomains

Image credit: Basak et al.

10/24/2018

Featured Channel

Complexity


This Channel brings together all aspects of complexity research and includes interdisciplinary topics from network theory to applications in neuroscience and the social sciences.

Complexity

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11/07/2013

Featured Collection

About My Lab

'About My Lab' aims to share knowledge about lab organization and management. Each Perspective represents an interview with a Principal Investigator, who share their experience running a lab by discussing selected topics in an informal style.

About My Lab

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