Pan-cancer analysis of whole genomes Nature 578 (7793), 82-93, 2020 | 1992* | 2020 |
ASCL1 reorganizes chromatin to direct neuronal fate and suppress tumorigenicity of glioblastoma stem cells NI Park, P Guilhamon, K Desai, RF McAdam, E Langille, M O’Connor, ... Cell stem cell 21 (2), 209-224. e7, 2017 | 236 | 2017 |
A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns W Jiao, G Atwal, P Polak, R Karlic, E Cuppen, A Danyi, J de Ridder, ... Nature communications 11 (1), 728, 2020 | 218 | 2020 |
Sex differences in oncogenic mutational processes CH Li, SD Prokopec, RX Sun, F Yousif, N Schmitz, PC Boutros Nature communications 11 (1), 4330, 2020 | 80 | 2020 |
Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples MH Bailey, WU Meyerson, LJ Dursi, LB Wang, G Dong, WW Liang, ... Nature communications 11 (1), 4748, 2020 | 45 | 2020 |
PCAWG Tumor Subtypes and Clinical Translation Working Group W Jiao, G Atwal, P Polak, R Karlic, E Cuppen A deep learning system accurately classifies primary and metastatic cancers …, 2020 | 28 | 2020 |
Deep-learning model for tumor-type prediction using targeted clinical genomic sequencing data M Darmofal, S Suman, G Atwal, M Toomey, JF Chen, JC Chang, ... Cancer discovery 14 (6), 1064-1081, 2024 | 9 | 2024 |
A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns. Nat Commun. 2020; 11 (1): 728 W Jiao, G Atwal, P Polak, R Karlic, E Cuppen, F Al-Shahrour Epub 2020/02/07. https://doi. org/10.1038/s41467-019-13825-8 PMID: 32024849, 0 | 6 | |
Author Correction: Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing I Cortés-Ciriano, JJK Lee, R Xi, D Jain, YL Jung, L Yang, D Gordenin, ... nature genetics 55 (6), 1076-1076, 2023 | 2 | 2023 |
Author Correction: Pan-cancer analysis of whole genomes Nature 614 (7948), E39-E39, 2023 | 2 | 2023 |
DeepTumour: Identify tumor origin from whole genome sequences LD Stein, W Jiao, G Atwal, Q Morris Cancer Research 82 (12_Supplement), 5046-5046, 2022 | 1 | 2022 |
Genome Gerrymandering: optimal division of the genome into regions with cancer type specific differences in mutation rates A Young, J Chmura, Y Park, Q Morris, G Atwal PACIFIC SYMPOSIUM ON BIOCOMPUTING 2020, 274-285, 2019 | 1 | 2019 |
Deep-learning model for tumor type classification enables enhanced clinical decision support in cancer diagnosis M Darmofal, S Suman, G Atwal, JF Chen, A Varghese, JC Chang, ... Cancer Research 83 (7_Supplement), 5440-5440, 2023 | | 2023 |
Author Correction: Pan-cancer analysis of whole genomes (Nature,(2020), 578, 7793,(82-93), 10.1038/s41586-020-1969-6) LA Aaltonen, F Abascal, A Abeshouse, H Aburatani, DJ Adams, ... Nature 614 (7948), E39, 2023 | | 2023 |
Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns W Jiao, G Atwal, P Polak, R Karlic, E Cuppen, A Danyi, J de Ridder, ... nature communications 13 (1), 7573, 2022 | | 2022 |
Automatic Tumour Typing Based on Patterns of Somatic Passenger Mutations GS Atwal University of Toronto (Canada), 2021 | | 2021 |