Inferring tumour purity and stromal and immune cell admixture from expression data K Yoshihara, M Shahmoradgoli, E Martínez, R Vegesna, H Kim, ... Nature communications 4 (1), 2612, 2013 | 4793 | 2013 |
The somatic genomic landscape of glioblastoma CW Brennan, RGW Verhaak, A McKenna, B Campos, H Noushmehr, ... cell 155 (2), 462-477, 2013 | 4460 | 2013 |
Comprehensive molecular characterization of clear cell renal cell carcinoma Cancer Genome Atlas Research Network Analysis working group: Baylor College ... Nature 499 (7456), 43-49, 2013 | 2579 | 2013 |
The landscape and therapeutic relevance of cancer-associated transcript fusions K Yoshihara, Q Wang, W Torres-Garcia, S Zheng, R Vegesna, H Kim, ... Oncogene 34 (37), 4845-4854, 2015 | 428 | 2015 |
Halogen interactions in protein–ligand complexes: implications of halogen bonding for rational drug design S Sirimulla, JB Bailey, R Vegesna, M Narayan Journal of chemical information and modeling 53 (11), 2781-2791, 2013 | 254 | 2013 |
Inferring tumour purity and stromal and immune cell admixture from expression data. Nat Commun. 2013; 4: 2612 K Yoshihara, M Shahmoradgoli, E Martínez, R Vegesna, H Kim, ... | 194 | |
PRADA: pipeline for RNA sequencing data analysis W Torres-García, S Zheng, A Sivachenko, R Vegesna, Q Wang, R Yao, ... Bioinformatics 30 (15), 2224-2226, 2014 | 162 | 2014 |
Inferring tumour purity and stromal and immune cell admixture from expression data. Nat Commun 4: 2612 K Yoshihara, M Shahmoradgoli, E Martínez, R Vegesna, H Kim, ... DOI: https://doi. org/10.1038/ncomms3612, PMID 24113773, 2013 | 80 | 2013 |
A survey of intragenic breakpoints in glioblastoma identifies a distinct subset associated with poor survival S Zheng, J Fu, R Vegesna, Y Mao, LE Heathcock, W Torres-Garcia, ... Genes & development 27 (13), 1462-1472, 2013 | 77 | 2013 |
Dosage regulation, and variation in gene expression and copy number of human Y chromosome ampliconic genes R Vegesna, M Tomaszkiewicz, P Medvedev, KD Makova PLoS genetics 15 (9), e1008369, 2019 | 19 | 2019 |
Correcting palindromes in long reads after whole-genome amplification S Warris, E Schijlen, H Van De Geest, R Vegesna, T Hesselink, ... BMC genomics 19, 1-12, 2018 | 18 | 2018 |
Dynamic evolution of great ape Y chromosomes M Cechova, R Vegesna, M Tomaszkiewicz, RS Harris, D Chen, ... Proceedings of the National Academy of Sciences 117 (42), 26273-26280, 2020 | 17 | 2020 |
Ampliconic genes on the great ape Y chromosomes: Rapid evolution of copy number but conservation of expression levels R Vegesna, M Tomaszkiewicz, OA Ryder, R Campos-Sánchez, ... Genome biology and evolution 12 (6), 842-859, 2020 | 10 | 2020 |
The landscape of receptor-mediated precision cancer combination therapy via a single-cell perspective S Ahmadi, P Sukprasert, R Vegesna, S Sinha, F Schischlik, N Artzi, ... Nature communications 13 (1), 1613, 2022 | 6 | 2022 |
Secondary structure predictions for long RNA sequences based on inversion excursions: preliminary results DT Yehdego, B Zhang, M Taufer, VKR Kodimala, R Vegesna, ... Proceedings of the ACM Conference on Bioinformatics, Computational Biology …, 2012 | 3 | 2012 |
Erratum: The somatic genomic landscape of glioblastoma (Cell (2013) 155 (462-477)) CW Brennan, RGW Verhaak, A McKenna, B Campos, H Noushmehr, ... Cell 157 (3), 753, 2014 | 2 | 2014 |
Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors S Sinha, R Vegesna, SR Dhruba, W Wu, DL Kerr, OV Stroganov, ... bioRxiv, 2022.01. 11.475728, 2022 | 1 | 2022 |
Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors E Ruppin, S Sinha, R Vegesna, A Kammula, SR Dhruba, W Wu, L Kerr, ... | | 2022 |
Single cell precision oncology: A proof of principle S Sinha, R Vegesna, A Schaffer, E Ruppin Cancer Research 82 (12_Supplement), 1906-1906, 2022 | | 2022 |
IDENTIFYING CELL SURFACE COMBINATIONS FOR TARGETING MALIGNANT PERIPHERAL NERVE SHEATH TUMOR CELLS M Nagy, S Madan, R Vegesna, X Zhang, A Schaffer, E Ruppin, J Shern PEDIATRIC BLOOD & CANCER 69, 2022 | | 2022 |