Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation
2018 · Cell · 2,277 citations
https://doi.org/10.1016/j.cell.2018.03.034
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Artem Sokolov
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Artem Sokolov is an academic researcher from Harvard University. The author has contributed to research in topics: Topic Modeling & Natural Language Processing Techniques & Bioinformatics and Genomic Networks. The author has an h-index of 34, co-authored 126 publications.
ORCID: 0000-0002-8056-0504Papers by this author
worksAssessing the clinical utility of cancer genomic and proteomic data across tumor types
2014 · Nature Biotechnology · 293 citations
https://doi.org/10.1038/nbt.2940
Systematic measurement of combination-drug landscapes to predict in vivo treatment outcomes for tuberculosis
2021 · Cell Systems · 72 citations
https://doi.org/10.1016/j.cels.2021.08.004
Geometric subspace methods and time-delay embedding for EEG artifact removal and classification
2006 · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 57 citations
https://doi.org/10.1109/tnsre.2006.875527
Highly multiplexed immunofluorescence images and single-cell data of immune markers in tonsil and lung cancer
2019 · Scientific Data · 57 citations
https://doi.org/10.1038/s41597-019-0332-y
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods
2024 · Genome biology · 54 citations
https://doi.org/10.1186/s13059-023-03113-6
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