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 ...
Medical Xpress

Researchers develop new tool to aid processing of spatial transcriptomic data

Researchers from Children's Hospital of Philadelphia (CHOP) have developed a new tool to help analyze data collected from spatial transcriptomics technologies (SRTs), which simultaneously profile gene ...
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.
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 ...
Targeted Oncology

Multiomic Real-World Data Predict Outcomes in Metastatic Breast Cancer

HER2 and ABCC1 are identified as significant transcriptomic predictors of overall survival in patients treated with T-DXd. A large-scale analysis reveals novel predictors of survival and resistance ...
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 ...