| Profiles of extracellular miRNA in cerebrospinal fluid and serum from patients with Alzheimer's and Parkinson's diseases correlate with disease status and features of pathology I Malenica, K Burgos, R Metpally, A Courtright, B Rakela, T Beach, H Shill, ... PloS one 9 (5), e94839, 2014 | 420 | 2014 |
| Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare J Feng, RV Phillips, I Malenica, A Bishara, AE Hubbard, LA Celi, ... NPJ digital medicine 5 (1), 66, 2022 | 129 | 2022 |
| High-throughput sequencing reveals altered expression of hepatic microRNAs in nonalcoholic fatty liver disease–related fibrosis F Leti, I Malenica, M Doshi, A Courtright, K Van Keuren-Jensen, ... Translational Research 166 (3), 304-314, 2015 | 82 | 2015 |
| Child wasting and concurrent stunting in low-and middle-income countries A Mertens, J Benjamin-Chung, JM Colford Jr, AE Hubbard, ... Nature 621 (7979), 558-567, 2023 | 67 | 2023 |
| Meeting report: discussions and preliminary findings on extracellular RNA measurement methods from laboratories in the NIH Extracellular RNA Communication Consortium LC Laurent, AB Abdel-Mageed, PD Adelson, J Arango, L Balaj, ... Journal of extracellular vesicles 4 (1), 26533, 2015 | 65 | 2015 |
| Comparison of analysis tools for miRNA high throughput sequencing using nerve crush as a model RPR Metpally, S Nasser, I Malenica, A Courtright, E Carlson, L Ghaffari, ... Frontiers in genetics 4, 20, 2013 | 65 | 2013 |
| Big Data and Targeted Machine Learning in action to assist medical decision in the ICU P Romain, MJ Cohen, I Malenica, J Cohen, A Chambaz, M Cannesson, ... Anaesthesia Critical Care & Pain Medicine, 2018 | 64* | 2018 |
| Big data and targeted machine learning: the past, the present and the future R Pirracchio, M Cohen, I Malenica, J Levy, A Chambaz, M Canesson, ... HAL, 2018 | 64* | 2018 |
| Serum microRNAs reflect injury severity in a large animal model of thoracic spinal cord injury S Tigchelaar, F Streijger, S Sinha, S Flibotte, N Manouchehri, K So, ... Scientific Reports 7 (1), 1376, 2017 | 64 | 2017 |
| Early-childhood linear growth faltering in low-and middle-income countries J Benjamin-Chung, A Mertens, JM Colford Jr, AE Hubbard, ... Nature 621 (7979), 550-557, 2023 | 61 | 2023 |
| A frame-shift mutation in CAV1 is associated with a severe neonatal progeroid and lipodystrophy syndrome I Schrauwen, S Szelinger, AL Siniard, A Kurdoglu, JJ Corneveaux, ... PLoS One 10 (7), e0131797, 2015 | 61 | 2015 |
| sl3: Modern Pipelines for Machine Learning and Super Learning JR Coyle, NS Hejazi, I Malenica, R Phillips, O Sofrygin URL https://doi. org/10.5281/zenodo 1342293, 2021 | 48* | 2021 |
| microRNA changes in liver tissue associated with fibrosis progression in patients with hepatitis C I Malenica, KR Van Keuren‐Jensen, AL Courtright, LT Ghaffari, AP Starr, ... Liver International 36 (3), 334-343, 2016 | 44 | 2016 |
| More efficient off-policy evaluation through regularized targeted learning A Bibaut, I Malenica, N Vlassis, M Van Der Laan International Conference on Machine Learning, 654-663, 2019 | 40 | 2019 |
| Causes and consequences of child growth faltering in low-resource settings A Mertens, J Benjamin-Chung, JM Colford Jr, J Coyle, MJ Van der Laan, ... Nature 621 (7979), 568-576, 2023 | 39 | 2023 |
| Prediction of obstetrical and fetal complications using automated electronic health record data GJ Escobar, L Soltesz, A Schuler, H Niki, I Malenica, C Lee American journal of obstetrics and gynecology 224 (2), 137-147. e7, 2021 | 34 | 2021 |
| Causes and consequences of child growth failure in low-and middle-income countries A Mertens, J Benjamin-Chung, JM Colford Jr, J Coyle, MJ van der Laan, ... MedRxiv, 2020.06. 09.20127100, 2020 | 34 | 2020 |
| Differentially methylated loci in NAFLD cirrhosis are associated with key signaling pathways GS Gerhard, I Malenica, L Llaci, X Chu, AT Petrick, CD Still, JK DiStefano Clinical Epigenetics 10, 93, 2018 | 31 | 2018 |
| A de novo mutation in TEAD1 causes non–X-linked Aicardi syndrome I Schrauwen, S Szelinger, AL Siniard, JJ Corneveaux, A Kurdoglu, ... Investigative Ophthalmology & Visual Science 56 (6), 3896-3904, 2015 | 31 | 2015 |
| Methods for CpG methylation array profiling via bisulfite conversion F Leti, L Llaci, I Malenica, JK DiStefano Disease Gene Identification: Methods and Protocols, 233-254, 2018 | 23 | 2018 |
Alan HUBBARDDivision of Biostatistics, University of California, BerkeleyVerified email at berkeley.edu