eLife

TopoMetry systematically learns and evaluates the latent geometry of single-cell data

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
IEEE

Mental Health Safety and Depression Detection in Social Media Text Data: A Classification Approach Based on a Deep Learning Model

Abstract: Social media expansion enables real-time mental health monitoring particularly for depression detection through its platforms. Traditional depression detection techniques, however, struggle ...
Frontiers

The Neuro Bureau Preprocessing Initiative: open sharing of preprocessed neuroimaging data and derivatives

Grass-roots initiatives such as the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data- sharing Initiative (INDI) [1] are successfully amassing and sharing large-scale brain ...

CleanFinder brings browser-based genome editing analysis to labs without coding

Genome editing lets scientists rewrite DNA, the instruction manual inside every living cell, with a precision that was unthinkable a generation ago. Technologies such as CRISPR have made this almost ...
IEEE

TEAR: A Cross-Modal Pre-Trained Text Encoder Enhanced by Acoustic Representations for Speech Synthesis

Abstract: Text encoders play an important role in text-to-speech (TTS) by analyzing text input and converting it into linguistic representations. In order to generate expressive speech from text, ...
The New York Times

4 Easy Ways to Make Sure No One Can Read Your Text Messages

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Max Eddy Max Eddy is a writer who has covered privacy and security — including ...