Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

This algorithm was developed and tested across 99 human tumor samples by researchers at EMBL's European Bioinformatics ... Machine learning algorithm brings long-read sequencing to the clinic.

The idea is to expedite the traditional research process by ingesting huge amounts of data and literature using proprietary algorithms and NVIDIA’s DGX-1 deep learning supercomputer.

We’ve reached a significant point in time where the interest in Artificial Intelligence (AI), machine learning and deep learning have gained huge amounts of traction - why? We are moving into an era ...

We are seeking a creative developer with a strong statistics and machine learning background to join Sloan Kettering Institute’s Single Cell Research Initiative (SCRI). The team’s goal is to develop ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Although the importance of machine learning methods in genome research has grown steadily in recent years, researchers have often had to resort to using obsolete software. Scientists in clinical ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...