Evaluating the evaluation of cancer driver genes

By Collin J Tokheim, N. Papadopoulos, Kenneth W. Kinzler, Bert Vogelstein, Rachel Karchin. Proceedings of the National Academy of Sciences of the United States of America, 2016

352 citations recorded by the source corpus.

Subfields: Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine

View Paper: https://www.semanticscholar.org/paper/83ed1fe1a6b17b3cf2a127310596905a3c9a7550

How researchers see this paper

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

In Cancer Research

1. Matthew Meyerson
2. Gad Getz
3. M. Lawrence
4. Abel Gonzalez-Perez
5. Núria López-Bigas
6. A. Gimenez-Roqueplo
7. W. Marston Linehan
8. D. Hoon

In Molecular Biology

1. Wanding Zhou
2. P. Park
3. Hui Shen
4. Peter W. Laird
5. Elaine R. Mardis
6. Ilya Shmulevich
7. Niranjan Nagarajan
8. Katherine A. Hoadley

In Pulmonary and Respiratory Medicine

1. Mark A. Rubin
2. Marc Ladanyi
3. J. Luketich
4. Christine Lovly
5. Z. Du
6. M. Davis

Citations in the corpus

• Comprehensive Characterization of Cancer Driver Genes and Mutations (2018, methodology): “The collection was comprised of 8 mutation-level algorithms (SIFT [Ng and Henikoff, 2002], PolyPhen2 [Adzhubei et al., 2013], MutationAssessor [Reva et al., 2011], transFIC [Gonzalez-Perez et al., 2012], fathmm [Shihab et al., 2013], CHASM [Carter et al., 2009], CanDrA [Mao et al., 2013] and VEST [C”
• Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas (2018, neutral): “To address this question, we analyzed 276 DDR genes in non-hypermutated cancer samples using five driver prediction tools: 20/20+ (Tokheim et al., 2016), Mut-Sig2CV (Lawrence et al.”