| Specificity of International Classification of Diseases codes for bronchopulmonary dysplasia: an investigation using electronic health record data and a large insurance database KS Beam, M Lee, K Hirst, A Beam, RB Parad Journal of Perinatology 41 (4), 764-771, 2021 | 16 | 2021 |
| PTEN loss drives resistance to the neddylation inhibitor MLN4924 in glioblastoma and can be overcome with TOP2A inhibitors SR Ferdosi, B Taylor, M Lee, N Tang, S Peng, R Bybee, G Reid, ... Neuro-oncology, 2022 | 9 | 2022 |
| COVID-19 mortality is associated with pre-existing impaired innate immunity in health conditions M Lee, Y Chang, N Ahmadinejad, C Johnson-Agbakwu, C Bailey, L Liu PeerJ 10, e13227, 2022 | 2 | 2022 |
| Evolution of COVID-19 Health Disparities in Arizona FL Shen, J Shu, M Lee, H Oh, F Marsiglia, M Li, G Runger, L Liu medRxiv, 2021 | 1 | 2021 |
| COVID-19 Mortality is Associated with Impaired Innate Immunity in Pre-existing Health Conditions ME Lee, Y Chang, N Ahmadinejad, CE Johnson-Agbakwu, C Bailey, L Liu bioRxiv, 2021 | 1 | 2021 |
| Dynamic multi-OMICs of glioblastoma reveal sensitivity to neddylation inhibition dependent on nuclear PTEN and DNA replication pathways: Nuclear PTEN mediates MLN4924 … SR Ferdosi, B Taylor, M Lee, N Tang, S Peng, R Bybee, G Reid, ... bioRxiv, 2020 | 1 | 2020 |
| DeepCORE: An interpretable multi-view deep neural network model to detect co-operative regulatory elements PB Chandrashekar, H Chen, M Lee, N Ahmadinajed, L Liu bioRxiv, 2023.04. 19.536807, 2023 | | 2023 |
| CSIG-14. PTEN AS A SIGNATURE OF VULNERABILITY OF GBM TO NEDDYLATION INHIBITION B Taylor, S Ferdosi, M Lee, N Tang, S Peng, R Bybee, L Hartman, G Reid, ... Neuro-Oncology 23 (Supplement_6), vi36-vi36, 2021 | | 2021 |
| RTID-08. MACHINE LEARNING TO UNCOVER SIGNATURES OF VULNERABILITY IN GLIOBLASTOMA UMBRELLA SIGNATURE TRIAL (GUST) S Peng, M Lee, N Tang, M Ahluwalia, E Fonkem, K Fink, J Raizer, ... Neuro-Oncology 23 (Supplement_6), vi194-vi194, 2021 | | 2021 |
| CLRM-01. MACHINE LEARNING TO UNCOVER SIGNATURES OF VULNERABILITY IN GLIOBLASTOMA UMBRELLA SIGNATURE TRIAL (GUST) S Peng, M Lee, N Tang, M Ahluwalia, E Fonkem, K Fink, J Raizer, ... Neuro-Oncology Advances 3 (Supplement_4), iv1-iv1, 2021 | | 2021 |
| Identifying signatures of vulnerability through machine learning in an umbrella trial for glioblastoma ME Lee, N Tang, M Ahluwalia, E Fonkem, K Fink, H Dhurv, H Dhurv, ... Cancer Research 81 (13_Supplement), 180-180, 2021 | | 2021 |
| Underlying mechanism of response to neddylation inhibition in a subset of glioblastoma S Ferdosi, B Taylor, M Lee, N Tang, S Peng, R Bybee, G Reid, L Hartman, ... Cancer Research 81 (13_Supplement), 2534-2534, 2021 | | 2021 |
| BIOM-24. IDENTIFYING VULNERABILITY SIGNATURES THROUGH MACHINE LEARNING IN AN UMBRELLA TRIAL FOR GLIOBLASTOMA M Lee, N Tang, M Ahluwalia, E Fonkem, K Fink, H Dhruv, M Berens, ... Neuro-Oncology 22 (Supplement_2), ii6-ii7, 2020 | | 2020 |
| Discovering molecular biomarkers through machine learning to assign patients to one of multiple arms for most-likely-to-benefit in an umbrella trial for glioblastoma ME Lee, S Peng, B Taylor, S Ferdosi, H Dhruv, M Ahluwalia, K Fink, ... Cancer Research 80 (16_Supplement), 857-857, 2020 | | 2020 |
| Loss of PTEN confers resistance to neddylation inhibition through TOP2A in glioblastoma B Taylor, S Ferdosi, N Tang, R Bybee, G Reid, L Hartman, D Finlay, ... Cancer Research 80 (16_Supplement), 1434-1434, 2020 | | 2020 |
Sen PengStaff Bioinformatics Scientist, illuminaVerified email at illumina.com
