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Frontiers in Oncology
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August 6, 2019
New Paradigm of Machine Learning (ML) in Personalized Oncology: Data Trimming for Squeezing More Biomarkers From Clinical Datasets
Nicolas Borisov, Anton Buzdin
Biomedicines
|
September 23, 2022
Transcriptomic Harmonization as the Way for Suppressing Cross-Platform Bias and Batch Effect
Nicolas Borisov, Anton Buzdin
Cancer Informatics
|
April 3, 2019
High-Throughput Mutation Data Now Complement Transcriptomic Profiling: Advances in Molecular Pathway Activation Analysis Approach in Cancer Biology
Anton Buzdin, Maxim Sorokin, Elena Poddubskaya, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
November 1, 2019
Quantitation of Molecular Pathway Activation Using RNA Sequencing Data
Nicolas Borisov, Maxim Sorokin, Andrew Garazha, et al.
Current Protocols
|
May 26, 2022
Shambhala-2: A Protocol for Uniformly Shaped Harmonization of Gene Expression Profiles of Various Formats
Nicolas Borisov, Maksim Sorokin, Marianna Zolotovskaya, et al.
Molecular Omics
|
October 1, 2025
Multi-omics data integration for topology-based pathway activation assessment and personalized drug ranking
Nicolas Borisov, Yaroslav Ilnytsky, Boseon Byeon, et al.
BMC Medical Genomics
|
September 19, 2020
Cancer gene expression profiles associated with clinical outcomes to chemotherapy treatments
Nicolas Borisov, Maxim Sorokin, Victor Tkachev, et al.
International Journal of Molecular Sciences
|
January 5, 2021
System, Method and Software for Calculation of a Cannabis Drug Efficiency Index for the Reduction of Inflammation
Nicolas Borisov, Yaroslav Ilnytskyy, Boseon Byeon, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
November 1, 2019
Oncobox Method for Scoring Efficiencies of Anticancer Drugs Based on Gene Expression Data
Victor Tkachev, Maxim Sorokin, Andrew Garazha, et al.
International Journal of Molecular Sciences
|
January 26, 2020
Flexible Data Trimming Improves Performance of Global Machine Learning Methods in Omics-Based Personalized Oncology
Victor Tkachev, Maxim Sorokin, Constantin Borisov, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 28) with videos related to
Sort By:
Page
of 3
Frontiers in Oncology
|
August 6, 2019
New Paradigm of Machine Learning (ML) in Personalized Oncology: Data Trimming for Squeezing More Biomarkers From Clinical Datasets
Nicolas Borisov, Anton Buzdin
Biomedicines
|
September 23, 2022
Transcriptomic Harmonization as the Way for Suppressing Cross-Platform Bias and Batch Effect
Nicolas Borisov, Anton Buzdin
Cancer Informatics
|
April 3, 2019
High-Throughput Mutation Data Now Complement Transcriptomic Profiling: Advances in Molecular Pathway Activation Analysis Approach in Cancer Biology
Anton Buzdin, Maxim Sorokin, Elena Poddubskaya, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
November 1, 2019
Quantitation of Molecular Pathway Activation Using RNA Sequencing Data
Nicolas Borisov, Maxim Sorokin, Andrew Garazha, et al.
Current Protocols
|
May 26, 2022
Shambhala-2: A Protocol for Uniformly Shaped Harmonization of Gene Expression Profiles of Various Formats
Nicolas Borisov, Maksim Sorokin, Marianna Zolotovskaya, et al.
Molecular Omics
|
October 1, 2025
Multi-omics data integration for topology-based pathway activation assessment and personalized drug ranking
Nicolas Borisov, Yaroslav Ilnytsky, Boseon Byeon, et al.
BMC Medical Genomics
|
September 19, 2020
Cancer gene expression profiles associated with clinical outcomes to chemotherapy treatments
Nicolas Borisov, Maxim Sorokin, Victor Tkachev, et al.
International Journal of Molecular Sciences
|
January 5, 2021
System, Method and Software for Calculation of a Cannabis Drug Efficiency Index for the Reduction of Inflammation
Nicolas Borisov, Yaroslav Ilnytskyy, Boseon Byeon, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
November 1, 2019
Oncobox Method for Scoring Efficiencies of Anticancer Drugs Based on Gene Expression Data
Victor Tkachev, Maxim Sorokin, Andrew Garazha, et al.
International Journal of Molecular Sciences
|
January 26, 2020
Flexible Data Trimming Improves Performance of Global Machine Learning Methods in Omics-Based Personalized Oncology
Victor Tkachev, Maxim Sorokin, Constantin Borisov, et al.
Page
of 3