| Pan-cancer analysis of whole genomes Nature 578 (7793), 82-93, 2020 | 1970* | 2020 |
| The evolutionary history of 2,658 cancers M Gerstung, C Jolly, I Leshchiner, SC Dentro, S Gonzalez, D Rosebrock, ... Nature 578 (7793), 122-128, 2020 | 985 | 2020 |
| Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes SC Dentro, I Leshchiner, K Haase, M Tarabichi, J Wintersinger, ... Cell 184 (8), 2239-2254. e39, 2021 | 373 | 2021 |
| Clonality inference in multiple tumor samples using phylogeny S Malikic, AW McPherson, N Donmez, CS Sahinalp Bioinformatics 31 (9), 1349-1356, 2015 | 210 | 2015 |
| Integrative inference of subclonal tumour evolution from single-cell and bulk sequencing data S Malikic, K Jahn, J Kuipers, SC Sahinalp, N Beerenwinkel Nature communications 10 (1), 2750, 2019 | 140 | 2019 |
| PhISCS: a combinatorial approach for subperfect tumor phylogeny reconstruction via integrative use of single-cell and bulk sequencing data S Malikic, FR Mehrabadi, S Ciccolella, MK Rahman, C Ricketts, ... Genome research 29 (11), 1860-1877, 2019 | 87 | 2019 |
| Allelic decomposition and exact genotyping of highly polymorphic and structurally variant genes I Numanagić, S Malikić, M Ford, X Qin, L Toji, M Radovich, TC Skaar, ... Nature communications 9 (1), 828, 2018 | 85 | 2018 |
| 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 | 44 | 2020 |
| Cypiripi: exact genotyping of CYP2D6 using high-throughput sequencing data I Numanagić, S Malikić, VM Pratt, TC Skaar, DA Flockhart, SC Sahinalp Bioinformatics 31 (12), i27-i34, 2015 | 44 | 2015 |
| Portraits of genetic intra-tumour heterogeneity and subclonal selection across cancer types SC Dentro, I Leshchiner, K Haase, M Tarabichi, J Wintersinger, ... BioRxiv, 312041, 2018 | 43 | 2018 |
| A multi-labeled tree dissimilarity measure for comparing “clonal trees” of tumor progression N Karpov, S Malikic, MK Rahman, SC Sahinalp Algorithms for Molecular Biology 14, 1-18, 2019 | 41* | 2019 |
| Clonality inference from single tumor samples using low coverage sequence data N Donmez, S Malikic, AW Wyatt, ME Gleave, CC Collins, SC Sahinalp Research in Computational Molecular Biology: 20th Annual Conference, RECOMB …, 2016 | 36 | 2016 |
| PhISCS-BnB: a fast branch and bound algorithm for the perfect tumor phylogeny reconstruction problem E Sadeqi Azer, F Rashidi Mehrabadi, S Malikić, XC Li, O Bartok, ... Bioinformatics 36 (Supplement_1), i169-i176, 2020 | 22 | 2020 |
| Collaborative intra-tumor heterogeneity detection S Khakabimamaghani, S Malikic, J Tang, D Ding, R Morin, ... Bioinformatics 35 (14), i379-i388, 2019 | 16 | 2019 |
| Tumor phylogeny topology inference via deep learning ES Azer, MH Ebrahimabadi, S Malikić, R Khardon, SC Sahinalp Iscience 23 (11), 2020 | 15 | 2020 |
| Identification of conserved evolutionary trajectories in tumors E Hodzic, R Shrestha, S Malikic, CC Collins, K Litchfield, S Turajlic, ... Bioinformatics 36 (Supplement_1), i427-i435, 2020 | 15 | 2020 |
| Profiles of expressed mutations in single cells reveal subclonal expansion patterns and therapeutic impact of intratumor heterogeneity FR Mehrabadi, KL Marie, E Pérez-Guijarro, S Malikić, ES Azer, HH Yang, ... bioRxiv, 2021.03. 26.437185, 2021 | 11 | 2021 |
| Fast intratumor heterogeneity inference from single-cell sequencing data C Kızılkale, F Rashidi Mehrabadi, E Sadeqi Azer, E Pérez-Guijarro, ... Nature computational science 2 (9), 577-583, 2022 | 7 | 2022 |
| Pervasive intra-tumour heterogeneity and subclonal selection across cancer types S Dentro, I Leshchiner, K Haase, J Wintersinger, A Deshwar, M Tarabichi, ... Cancer Research 78 (13_Supplement), 3000-3000, 2018 | 7 | 2018 |
| Severus: accurate detection and characterization of somatic structural variation in tumor genomes using long reads A Keskus, A Bryant, T Ahmad, B Yoo, S Aganezov, A Goretsky, A Donmez, ... medRxiv, 2024 | 5 | 2024 |
S. Cenk SahinalpSenior Investigator, Cancer Data Science Lab, National Cancer Institute, NIHZweryfikowany adres z nih.gov
