If we can model a fly brain, and run that fly in a sim, we might do it with us. We live in the age of the brain, and ...

A new paradigm for scientific computing and data science has begun to emerged in the last decade. A recent example is the publication of the first "computationally reproducible article" using eLife's ...

During development, cells make sequential decisions to change their state, eventually generating the tremendous cellular diversity in our body. To describe this process, Conrad Waddington proposed ...

If you own a smartphone, you understand the perks of using it to coordinate projects and deadlines. Keeping track of data is easy with the latest budget Android phones. And if you're a practitioner of ...

When a fuel rod is damaged, determining the degree of fuel failure makes sense. The operators can decide whether to continue operating the reactor or shut it down based on the severity of the fuel ...

tascCODA posits a Dirichlet-Multinomial model for Y i,⋅ for each sample i ∈ 1…, n, thus accounting for the compositional nature of the count data. The covariates are associated with the features ...

Spurred by advances in processing power, memory, storage, and an unprecedented wealth of data, computers are being asked to tackle increasingly complex learning tasks, often with astonishing success.

Most work on community detection does not address the issue of statistical significance, and many algorithms are prone to overfitting. We address this using tools from statistical physics. Rather than ...