Cancer Biology

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Spatial Transcriptomics Unlocks Novel Insights into Cancer Biology: AI Analyzes Gene Activity in 3D
BySonal Keni December 21, 2023January 4, 2024

The introduction of NGS transformed the field of biology, allowing for greater insights into biological mechanisms through the gathering of rich, accessible data. However, important context is lost due to the data being conventionally stored in tabular formats, which erase the impacts that spatial connectivity has on genes and gene expression. A new framework, GENIUS…

Read More Spatial Transcriptomics Unlocks Novel Insights into Cancer Biology: AI Analyzes Gene Activity in 3D
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‘CancerVar’ – A New Machine Learning Empowered Tool to Interpret Somatic Variants in Cancer
ByTanveen Kaur May 18, 2022November 9, 2022

CancerVar leverages machine learning frameworks to evaluate the potential relevance of somatic cancer mutations in terms of cancer diagnosis, prognosis, and targetability, in addition to simply discovering them. Researchers at Children’s Hospital of Philadelphia (CHOP) developed CancerVar, a novel machine learning empowered tool to interpret somatic variants in cancer. CancerVar can be accessed either as…

Read More ‘CancerVar’ – A New Machine Learning Empowered Tool to Interpret Somatic Variants in Cancer

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