| A quantitative analysis of heterogeneities and hallmarks in acute myelogenous leukaemia CW Hu, Y Qiu, A Ligeralde, AY Raybon, SY Yoo, KR Coombes, AA Qutub, ... Nature biomedical engineering 3 (11), 889-901, 2019 | 32 | 2019 |
| Recognition of recurrent protein expression patterns in pediatric acute myeloid leukemia identified new therapeutic targets FW Hoff, CW Hu, Y Qiu, A Ligeralde, SY Yoo, H Mahmud, ESJM De Bont, ... Molecular Cancer Research 16 (8), 1275-1286, 2018 | 21 | 2018 |
| Recurrent patterns of protein expression signatures in pediatric acute lymphoblastic leukemia: recognition and therapeutic guidance FW Hoff, CW Hu, Y Qiu, A Ligeralde, SY Yoo, ME Scheurer, ... Molecular Cancer Research 16 (8), 1263-1274, 2018 | 17 | 2018 |
| Clinical relevance of proteomic profiling in de novo pediatric acute myeloid leukemia: A Children’s Oncology Group study FW Hoff, AD Van Dijk, Y Qiu, CW Hu, RE Ries, A Ligeralde, GN Jenkins, ... Haematologica 107 (10), 2329, 2022 | 10 | 2022 |
| Critical point-finding methods reveal gradient-flat regions of deep network losses CG Frye, J Simon, NS Wadia, A Ligeralde, MR DeWeese, KE Bouchard Neural computation 33 (6), 1469-1497, 2021 | 8 | 2021 |
| cytoNet: Spatiotemporal network analysis of cell communities AS Mahadevan, BL Long, CW Hu, DT Ryan, NE Grandel, GL Britton, ... PLoS computational biology 18 (6), e1009846, 2022 | 5 | 2022 |
| cytoNet: network analysis of cell communities AS Mahadevan, BL Long, CW Hu, DT Ryan, GL Britton, A Ligeralde, ... Available at SSRN 3353224, 2019 | 4 | 2019 |
| Geometry reveals an instructive role of retinal waves as biologically plausible pre-training signals A Ligeralde, MN Pitcher, M Feller, SY Chung NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022 | 1 | 2022 |
| Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry A Ligeralde, Y Kuang, TE Yerxa, MN Pitcher, M Feller, SY Chung UniReps: the First Workshop on Unifying Representations in Neural Models, 2023 | | 2023 |
| Modeling Visual Cortical Development ACC Ligeralde UC Berkeley, 2023 | | 2023 |
| RPPA-Profiling in Pediatric and Adult T-Cell Acute Lymphoblastic Leukemia Identifies Protein Patterns Associated with Outcome FW Hoff, L Sriraja, Y Qiu, G Jenkins, A Ligeralde, DT Teachey, BL Wood, ... Blood 140 (Supplement 1), 6352-6353, 2022 | | 2022 |
| Sparse coding models predict a spectral bias in the development of primary visual cortex (V1) receptive fields A Ligeralde, MR DeWeese bioRxiv, 2022.03. 17.484705, 2022 | | 2022 |
| Sparse coding predicts a spectral bias in the development of V1 receptive fields A Ligeralde, MR DeWeese | | |
Charles FryeVerified email at berkeley.edu
Charles FryeVerified email at berkeley.edu