News & Comment

Machine learning extracts patterns from data without explicit instructions.

Improving single-cell data in CRISPR screens, with inspiration from open-air theater performances.

How to run a computational competition energized by modern dance.

Many heads are better than one.

Why it's fun to be a 'dye Santa,' how to fine-tune in vivo probes, what to name your firstborn.

Combining approaches from “different worlds” to learn more from a single cell.

DNA origami, super-resolution microscopy and creative flashes on a bike.

Decision trees are a simple but powerful prediction method.

PCA helps you interpret your data, but it will not always find the important patterns.

Calculating gene–environment interactions, and the role of a 'why' machine.

Clustering finds patterns in data—whether they are there or not.

Teamwork on and off the ice, and tipping the odds to find CRISPR hits sans markers.

A “simple but a bit crazy idea” to tag ubiquitin and practice multilingual, multidisciplinary proteomics.

Deep brain imaging with three-photon microscopy and a swim from the US to China.

Tabulating the number of objects in categories of interest dates back to the earliest records of commerce and population censuses.

An engineered approach to study gene regulation, and why home is where the heart is.

A P value measures a sample's compatibility with a hypothesis, not the truth of the hypothesis.

Swimming to a way of testing thousands of guide RNAs at once.