1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2022
Topical Hidden Genome: Discovering Latent Cancer Mutational Topics using a Bayesian Multilevel Context-learning Approach
Saptarshi Chakraborty, Zoe Guan, Colin B. Begg +1
Statistical inference on the cancer-site specificities of collective ultra-rare whole genome somatic mutations is an open problem. Traditional statistical methods cannot handle who…
stat.ME2020★ 1 cited
Using the "Hidden" Genome to Improve Classification of Cancer Types
Saptarshi Chakraborty, Colin B. Begg, Ronglai Shen
It is increasingly common clinically for cancer specimens to be examined using techniques that identify somatic mutations. In principle these mutational profiles can be used to dia…