Role of non-coding sequence variants in cancer

By Ekta Khurana, Yao Fu, D. Chakravarty, F. Demichelis, Mark A. Rubin, Mark Gerstein. 2016

447 citations recorded by the source corpus.

Subfields: Cancer Research, Genetics, Molecular Biology, Computational Biology & Bioinformatics, Medical & Health AI

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Chris Alberti
2. Amr Ahmed
3. Manzil Zaheer

In Computational Biology & Bioinformatics

1. Manzil Zaheer

Citations in the corpus

• Big Bird: Transformers for Longer Sequences (2020, background): “Majority of diseases and other trait associated single-nucleotide polymorphism are correlated to non-coding genomic variations [110, 46].”
• Neoantigens: promising targets for cancer therapy (2023, background): “These MHC-I-associated peptides (MAPs) derived from genes at non-coding regions expand the range of CD8 T cell immune surveillance from 2% (the proportion of the human genome in exons) to 75%.(52,172,174,175) According to a proteogenomic profiling of non-canonical proteins, 60% of noncanonical prote”