data analysis

In this webinar, Austin Holmes and Jason Koth will discuss how to overcome single cell methylation and data analysis hurdles.

Effective results sections need to be much more than a list of data points given without context. 

In this webinar, Özgen Deniz and Christina Leslie will discuss how epigenetic regulation affects oncogenesis.

New preprints failed to reproduce the buzzy new neuroimaging technique DIANA fMRI, but its inventor remains steadfast.

Advanced flow cytometers reduce the need for scientists to use multiple devices to analyze cell-based assays. 

Discover the top five reasons researchers need modern medical imaging infrastructure.

Apply today to share your cutting-edge research in The Scientist’s Journal Club.

A novel atlas reveals region-specific links between structural, mechanical, and genetic properties within the heart.

An analysis finds that reviewers are more likely to choose to be de-anonymized when their reviews are positive, suggesting instituting a fully open process might discourage negative feedback.

Thomas Stoeger of Northwestern University has previously studied scientists’ limited focus on certain genes. In a new study, he shows how these same behaviors extend into the science of COVID-19.

Scientists in cannabis extraction laboratories are bravely pioneering a new field of agro-chemical engineering.

Junior faculty in particular may lose ground as undergrad students remain barred from university labs.

It can take days for each death to be recorded in official statistics. “Nowcasting” estimates the actual occurrence of deaths, and the true peak of the pandemic.

Researchers mined an electronic cigarette users’ online discussion forum and found reports of headaches, coughing, itching, and throat pain.

Microbiologist Nick Loman talks about the power of artificial intelligence and the best way to use it.

Computational biologist Jinghui Zhang of St. Jude realized scientists could work more efficiently with tools and genomic data shared on the cloud.

In service of an arbitrary threshold, p-values often lead researchers to make poorly supported claims and ignore interesting but insignificant results, scientists argue.

The Stanford University researcher discusses a new study on measures such as data sharing and funding disclosures.

A new study suggests that sponsors downplay their influence when reporting trials carried out in collaboration with academic researchers.