Artem Sokolov, Ph.D.
Artem Sokolov, Ph.D.
Instructor in Biomedical Informatics

Artem Sokolov completed his PhD under the supervision of Asa Ben-Hur at Colorado State University, where he worked on developing state-of-the-art methods for protein function prediction. Sokolov's postdoctoral research at the University of California Santa Cruz focused on building robust, interpretable in silico models of human cancers and correlating these models with biological and clinical outcomes as part of his involvement in The Cancer Genome Atlas (TCGA) and the West Coast Dream Team (WCDT) consortia.

As Director of Informatics and Modeling at the Laboratory of Systems Pharmacology (LSP), Artem leads a group of computational biologists and software engineers who model pre-clinical, translational and clinical data using a wide range of machine learning and artificial intelligence approaches. He plays a leading role in training and mentoring a diverse group of students and postdocs in managing the lab’s collaborations with academic and industrial groups.

Combining heterogeneous data sources for accurate functional annotation of proteins.
Authors: Sokolov A, Funk C, Graim K, Verspoor K, Ben-Hur A.
BMC Bioinformatics
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PARADIGM-SHIFT predicts the function of mutations in multiple cancers using pathway impact analysis.
Authors: Ng S, Collisson EA, Sokolov A, Goldstein T, Gonzalez-Perez A, Lopez-Bigas N, Benz C, Haussler D, Stuart JM.
Bioinformatics
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Hierarchical classification of gene ontology terms using the GOstruct method.
Authors: Sokolov A, Ben-Hur A.
J Bioinform Comput Biol
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Geometric subspace methods and time-delay embedding for EEG artifact removal and classification.
Authors: Anderson CW, Knight JN, O'Connor T, Kirby MJ, Sokolov A.
IEEE Trans Neural Syst Rehabil Eng
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