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 ...

Few people have invented an algorithm with the potential to spark a worldwide crisis, so why is quantum computing pioneer ...

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene therapies to genome editing and synthetic biology. However, designing RNA ...

How to beat the AI algorithm and get the job of your dreams ...

Vitalik Buterin confirms an AI challenge winner who traced his anonymous EIP-7503 rewrite through reasoning style.

The AI-based program AlphaFold predicts a protein's 3D structure with remarkable accuracy. However, it tends to reduce heterogeneous structures to a single dominant conformation, or shape, and ...

Reproducing kernel Hilbert space method is utilized in this paper as an efficient approach to solve singular fourth order ...

Positive definite matrices are widely used in machine learning and probabilistic modeling, especially in applications related to graph analysis and Gaussian models. It is not uncommon that positive ...

We start with the fully processed molecular phenotype matrix. In this tutorial, we use the fully processed gene expression matrix for Colon - Transverse from GTEx V8 (2020) as an example. In GTEx’s ...