Nicolas Borisov

发表

Prediction of Drug Efficiency by Transferring Gene Expression Data from Cell Lines to Cancer Patients

Nicolas Borisov, Victor Tkachev, Anton Buzdin, 2017, Braverman Readings in Machine Learning.

New Paradigm of Machine Learning (ML) in Personalized Oncology: Data Trimming for Squeezing More Biomarkers From Clinical Datasets

Nicolas Borisov, Anton Buzdin, Nicolas Borisov, 2019, Front. Oncol..

Flexible Data Trimming Improves Performance of Global Machine Learning Methods in Omics-Based Personalized Oncology

Nicolas Borisov, Victor Tkachev, Anton Buzdin, 2020, International journal of molecular sciences.

FLOating-Window Projective Separator (FloWPS): A Data Trimming Tool for Support Vector Machines (SVM) to Improve Robustness of the Classifier

Ilya Muchnik, Alexander Simonov, Nicolas Borisov, 2019, Front. Genet..

High-Throughput Mutation Data Now Complement Transcriptomic Profiling: Advances in Molecular Pathway Activation Analysis Approach in Cancer Biology

Nicolas Borisov, Anton Buzdin, Maxim Sorokin, 2019, Cancer informatics.

Oncobox Method for Scoring Efficiencies of Anticancer Drugs Based on Gene Expression Data.

Nicolas Borisov, Anton Buzdin, Maxim Sorokin, 2020, Methods in molecular biology.

Flexible Data Trimming for Different Machine Learning Methods in Omics-Based Personalized Oncology

Nicolas Borisov, Victor Tkachev, Anton Buzdin, 2019, ISMCO.

Molecular pathway activation - New type of biomarkers for tumor morphology and personalized selection of target drugs.

Amir Samii, Christian Hartmann, Nicolas Borisov, 2018, Seminars in cancer biology.

Molecular pathway activation features linked with transition from normal skin to primary and metastatic melanomas in human

Bhupinder Bhullar, Alexander Aliper, Anna Vanyushina, 2015, Oncotarget.

Combinatorial high-throughput experimental and bioinformatic approach identifies molecular pathways linked with the sensitivity to anticancer target drugs

Alexander Aliper, Alex Zhavoronkov, Nicolas Borisov, 2015, Oncotarget.

In search for geroprotectors: in silico screening and in vitro validation of signalome-level mimetics of young healthy state

Evgeny Putin, Alexander Aliper, Polina Mamoshina, 2016, Aging.

A method of gene expression data transfer from cell lines to cancer patients for machine-learning prediction of drug efficiency

Alex Zhavoronkov, Nicolas Borisov, Anton Buzdin, 2018, Cell cycle.