By analyzing huge amounts of biological data, the use of machine learning accelerates the identification of critical control hubs that are sensitive to changes in the network structure of the total ...

Lung cancer was originally classified according to how tumour cells appeared under a microscope. Non-small cell lung cancer ... the effects of cancer-causing mutations are countered with drugs.

Researchers have identified mutated proteins strongly linked to bone cancer by constructing a multimodal map of human ...

By mapping the subcellular architecture and protein interactions within cells, researchers can better understand how mutations contribute to pediatric cancers and other conditions.

The prevailing theory on the origin of cancer is that an otherwise normal cell accumulates genetic mutations that allow it to grow and reproduce unchecked. This paradigm has driven large-scale ...

By mapping the subcellular architecture of tumor cells, researchers can better understand how mutations cause cancer.

The prevailing theory on the origin of cancer is that an otherwise normal cell accumulates genetic mutations that allow it to grow and reproduce unchecked. This paradigm has driven large-scale ...

The more you look at cancer ... of cells and assign detected mutations to them 1, whereas single-cell DNA sequencing struggles at this task owing to the loss of large portions of the genome ...

Johns Hopkins Medicine scientists say they have found a pattern of so-called epigenetic "marks" in a transition state between ...

Renal cell carcinoma is sometimes discovered when you have a CT scan or an ultrasound for another reason. Sometimes it is detected after it has already become very large or spread to other organs.