Next-generation protein sequencing (NGS) is a powerful new technology that can analyze proteins more comprehensively and in detail. This can be a valuable tool for researchers
in various fields, including biology, medicine, and forensics.
Researchers at Memorial Sloan Kettering Cancer Center (MSK) have developed a new open-source computational method, dubbed Spectra, which improves the analysis of single-cell transcriptomic data. Spectra can offer new insights into the complex interplay between cells, like the interactions between cancer cells and immune cells, which are critical to improving immunotherapy treatments. Spectra can cut […]
Scientists have created a massive collection of 200,000 cell images to explore the inner workings of our cellular world. This visual database acts like an extensive library of blueprints. Using advanced math, they’ve developed a complex framework, like a secret code, to decipher the basic rules governing cell construction. It’s like finding the hidden language […]
Researchers have developed a new self-supervised learning method that can improve the training of genomic models with less labeled data. The method, called Self-GenomeNet, leverages reverse-complement sequences and effectively learns short- and long-term dependencies by predicting targets of different lengths. Self-GenomeNet outperforms other self-supervised methods in data-scarce genomic tasks and outperforms standard supervised training with […]
