The Scientist

Scaling Up Spatial Transcriptomic Technologies to Organs

A new spatial transcriptomic technology captures RNA patterns without requiring expensive imaging ...

DeepChopper model improves RNA sequencing research by mitigating chimera artifacts

Scientists in the laboratory of Rendong Yang, Ph.D., associate professor of Urology, have developed a new large language model that can interpret transcriptomic data in cancer cell lines more ...
News Medical

New computational method improves analysis of single-cell transcriptomic data

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. By ...
Kaleido Scope

Making sense of the data deluge with the UAB Biological Data Science core

The UAB Biological Data Science Core, one of the newest of the 15 Institutional Research Core Facilities at UAB, specializes in something else. The mission of U-BDS is to turn the mass of data ...
ascopubs.org

Assessing the prognostic value of transcriptomic data in multiple myeloma through machine learning methodologies.

Exploring the role of the combination of FDG PET plus whole body MRI for staging newly diagnosed and relapsed/refractory multiple myeloma: A prospective trial.
ascopubs.org

JCO Precision Oncology Conversations

JCO Precision Oncology Conversations features discussions with leading authors of JCO Precision Oncology articles, hosted by Dr. Abdul Rafeh Naqash. Join our experts in engaging conversations as they ...