Scholay

学术搜索 · AI 审稿 · LaTeX 协作

Theodore Sakellaropoulos

机构:NYU Langone Health, NYU Langone’s Laura and Isaac Perlmutter Cancer Center, New York University · ORCID:0000-0001-9946-9498

发表论文 69 篇 · 总被引 5124 次 · h-index 20

代表论文

  • Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning (2018 · Nature Medicine · 被引 3016)
  • Targeting Mitochondrial Structure Sensitizes Acute Myeloid Leukemia to Venetoclax Treatment (2019 · Cancer Discovery · 被引 356)
  • A Deep Learning Framework for Predicting Response to Therapy in Cancer (2019 · Cell Reports · 被引 215)
  • H3K27ac bookmarking promotes rapid post-mitotic activation of the pluripotent stem cell program without impacting 3D chromatin reorganization (2021 · Molecular Cell · 被引 141)
  • Cell-type-specific prediction of 3D chromatin organization enables high-throughput in silico genetic screening (2023 · Nature Biotechnology · 被引 136)
  • Machine learning and data mining frameworks for predicting drug response in cancer: An overview and a novel in silico screening process based on association rule mining (2019 · Pharmacology & Therapeutics · 被引 128)