| Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response Y Zhang, SP Narayanan, R Mannan, G Raskind, X Wang, P Vats, F Su, ... Proceedings of the National Academy of Sciences 118 (24), e2103240118, 2021 | 163 | 2021 |
| Histopathologic and proteogenomic heterogeneity reveals features of clear cell renal cell carcinoma aggressiveness Y Li, TSM Lih, SM Dhanasekaran, R Mannan, L Chen, M Cieslik, Y Wu, ... Cancer Cell 41 (1), 139-163. e17, 2023 | 54 | 2023 |
| Two-stage Cox-nnet: biologically interpretable neural-network model for prognosis prediction and its application in liver cancer survival using histopathology and … Z Zhan, Z Jing, B He, N Hosseini, M Westerhoff, EY Choi, LX Garmire NAR genomics and bioinformatics 3 (1), lqab015, 2021 | 17 | 2021 |
| Proteogenomic analysis of chemo-refractory high-grade serous ovarian cancer S Chowdhury, JJ Kennedy, RG Ivey, OD Murillo, N Hosseini, X Song, ... Cell 186 (16), 3476-3498. e35, 2023 | 8 | 2023 |
| Distinct mutational processes shape selection of MHC class I and class II mutations across primary and metastatic tumors MB Mumphrey, N Hosseini, A Parolia, J Geng, W Zou, M Raghavan, ... Cell Reports 42 (8), 2023 | 4 | 2023 |
| Two-stage Neural-network based Prognosis Models using Pathological Image and Transcriptomic Data: An Application in Hepatocellular Carcinoma Patient Survival Prediction. Z Zhan, N Hossenei, O Poirion, M Westerhoff, EY Choi, T Ching, ... BIOINFORMATICS, 296-301, 2020 | 2 | 2020 |
| Comprehensive proteogenomic characterization of rare kidney tumors GX Li, L Chen, Y Hsiao, R Mannan, Y Zhang, J Luo, F Petralia, H Cho, ... Cell Reports Medicine, 2024 | 1 | 2024 |
| Integrated Clinico-Pathological and Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma by the Clinical Proteomic Tumor Analysis Consortium (CPTAC) R Mannan, Y Li, S Chen, L Chen, Y Zhang, Y Wu, N Hosseini, ... LABORATORY INVESTIGATION 102 (SUPPL 1), 630-630, 2022 | 1 | 2022 |
| Two-stage biologically interpretable neural-network models for liver cancer prognosis prediction using histopathology and transcriptomic data Z Zhan, Z Jing, B He, N Hosseini, M Westerhoff, EY Choi, LX Garmire medRxiv, 2020.01. 25.20016832, 2020 | 1 | 2020 |
| Genome instability in renal tumors H Cho, GX Li, R Mannan, N Hosseini, Y Hsiao, Y Zhang, A Dagar, ... Cancer Research 84 (6_Supplement), 5217-5217, 2024 | | 2024 |
| A proteogenomic study of high-grade glioma among adolescents and young adults N Tignor, MP Koptyra, S Chowdhury, W Ma, JL Rokita, M Gritsenko, ... Cancer Research 84 (6_Supplement), 3955-3955, 2024 | | 2024 |
| Proteogenomic analysis of chemo-refractory high-grade serous ovarian cancer S Chowdhury, JJ Kennedy, RG Ivey, OD Murillo, N Hosseini, X Song, ... Cell 187 (4), 1016, 2024 | | 2024 |
| Abstract A034: Development of a novel class of genomic biomarkers through mathematical modeling of cancer genome contiguity N Hosseini, R Mannan, A Nesvizhskii, S Dhanasekaran, M Cieslik Cancer Research 84 (1_Supplement), A034-A034, 2024 | | 2024 |
| Abstract A040: Multi-site sequencing of lethal prostate cancer reveals metastatic dissemination by independent and early-branching clones N Hosseini, Z Reichert, R Mehra, A Chinnaiyan, M Cieslik Cancer Research 83 (11_Supplement), A040-A040, 2023 | | 2023 |
| HLAProphet: Personalized allele-level quantification of the HLA proteins MB Mumphrey, GX Li, N Hosseini, A Nesvizhskii, M Cieslik bioRxiv, 2023.01. 29.526142, 2023 | | 2023 |
| MHCnvex: Likelihood-based model for calling the copy number variations and loss of heterozygosity in MHC class I and II locus N Hosseini, MB Mumphrey, M Cieslik bioRxiv, 2023.01. 29.526131, 2023 | | 2023 |
