GitHub

Fine-tuning sequence-to-expression models on personal genome and transcriptome data

The code base for our work on improving the performance of sequence-to-expression models for making individual-specific gene expression predictions by fine-tuning them on personal genome and ...
Nature

How DeepMind's genome AI could help solve rare disease mysteries

Hackathons using AlphaGenome and other AI models are hunting down the genetic causes of devastating conditions that have ...
GitHub

Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

@article{chen2025diffusion, title={Diffusion forcing: Next-token prediction meets full-sequence diffusion}, author={Chen, Boyuan and Mart{\'\i} Mons{\'o}, Diego and ...
Indiatimes

Quote of the day by first man on moon Neil Armstrong: 'History is a sequence of random events and unpredictable choices, which is why...'

History is often remembered as a straight line of progress, marked by major achievements and defining moments. But for Neil Armstrong, the first human to walk on the Moon, the past never followed a ...
IEEE

Isolated Random Forest Assisted Spatio-Temporal Ant Colony Evolutionary Algorithm for Cell Tracking in Time-Lapse Sequences

Abstract: Multi-Object tracking in real world environments is a tough problem, especially for cell morphogenesis with division. Most cell tracking methods are hard to achieve reliable mitosis ...
IEEE

Pre/Post-Coding Techniques Using Zadoff-Chu Sequence for PAPR Reduction in OTFS

Abstract: High peak-to-average power ratio (PAPR) is one of the major drawbacks of orthogonal time frequency space (OTFS) based communication systems, leading to ...