| Estimation of immune cell content in tumour tissue using single-cell RNA-seq data M Schelker, S Feau, J Du, N Ranu, E Klipp, G MacBeath, B Schoeberl, ... Nature communications 8 (1), 2032, 2017 | 247 | 2017 |
| Rapid fabrication of nickel molds for prototyping embossed plastic microfluidic devices R Novak, N Ranu, RA Mathies Lab on a Chip 13 (8), 1468-1471, 2013 | 54 | 2013 |
| Targeting individual cells by barcode in pooled sequence libraries N Ranu, AC Villani, N Hacohen, PC Blainey Nucleic acids research 47 (1), e4-e4, 2019 | 14 | 2019 |
| DENT-seq for genome-wide strand-specific identification of DNA single-strand break sites with single-nucleotide resolution JJ Elacqua, N Ranu, SE DiIorio, PC Blainey Genome research 31 (1), 75-87, 2021 | 11 | 2021 |
| Estimation of immune cell content in tumour tissue using single-cell RNA-seq data. Nat Commun. 2017; 8: 2032 M Schelker, S Feau, J Du, N Ranu, E Klipp, G MacBeath, B Schoeberl, ... Nature Publishing Group, 0 | 8 | |
| A Pooled Cell Painting CRISPR Screening Platform Enables de novo Inference of Gene Function by Self-supervised Deep Learning S Sivanandan, B Leitmann, E Lubeck, MM Sultan, P Stanitsas, N Ranu, ... bioRxiv, 2023.08. 13.553051, 2023 | 7 | 2023 |
| Estimation of immune cell content in tumour tissue using single-cell RNA-seq data. Nat Commun 8: 2032 M Schelker, S Feau, J Du, N Ranu, E Klipp, G MacBeath, B Schoeberl, ... | 5 | 2017 |
| Machine learning enabled pooled optical screening in human lung cancer cells S Sivanandan, M Salick, B Leitmann, KM Liu, M Sultan, N Ranu, CV Hao, ... NeurIPS 2022 Workshop on Learning Meaningful Representations of Life, 2022 | 1 | 2022 |
| Single cell cellular component enrichment from barcoded sequencing libraries P Blainey, N Ranu, T Gierahn, JC Love US Patent App. 18/327,345, 2024 | | 2024 |
| KatG catalase deficiency confers bedaquiline hyper-susceptibility to isoniazid resistant Mycobacterium tuberculosis N Ofori-Anyinam, M Hamblin, ML Coldren, B Li, G Mereddy, M Shaikh, ... bioRxiv, 2023.10. 17.562707, 2023 | | 2023 |
| Machine learning methods for detailed characterization of TGF-beta-induced signatures in a large iPSC-derived hepatic stellate cell cohort P Stanitsas, KM Liu, L Kategaya, K Haston, A Lee, S Mohammadi, ... Journal of Hepatology 77, S37-S38, 2022 | | 2022 |
| CRISPR perturbation in iPSC-derived hepatic stellate cells reveals role for TNF-driven interferon response in chronic liver disease K Haston, N Ranu, L Kategaya, E Lubeck, MD Bereket, FP Casale, ... Journal of Hepatology 77, S762, 2022 | | 2022 |
| Machine learned histological fibrosis score empowers characterization of baseline gene signatures associated with fibrosis progression or regression in a NASH F3/F4 clinical trial MD Bereket, FP Casale, L Kategaya, A Shcherbina, N Ranu, A Lee, ... Journal of Hepatology 77, S31, 2022 | | 2022 |
| High-throughput screens for exploring biological functions of microscale biological systems P Blainey, N Ranu US Patent App. 16/605,156, 2021 | | 2021 |
| Single-stranded break detection in double-stranded dna S DiIorio, J Elacqua, A Gutierrez, N Ranu, P Blainey US Patent App. 17/048,227, 2021 | | 2021 |
| Single cell cellular component enrichment from barcoded sequencing libraries P Blainey, R Navpreet, T Gierahn, C Love | | 2019 |
| Targeted sequencing: single cells and single strand breaks NS Ranu Massachusetts Institute of Technology, 2018 | | 2018 |
