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Nicolas Borisov

Showing results (21-30 of 28) with videos related to

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Oncotarget|August 29, 2015
Combinatorial high-throughput experimental and bioinformatic approach identifies molecular pathways linked with the sensitivity to anticancer target drugsLarisa Venkova, Alexander Aliper, Maria Suntsova, et al.
Oncotarget|August 31, 2015
A method for predicting target drug efficiency in cancer based on the analysis of signaling pathway activationArtem Artemov, Alexander Aliper, Michael Korzinkin, et al.
Seminars in Cancer Biology|June 24, 2018
Molecular pathway activation - New type of biomarkers for tumor morphology and personalized selection of target drugsAnton Buzdin, Maxim Sorokin, Andrew Garazha, et al.
Oncotarget|December 2, 2015
Molecular pathway activation features linked with transition from normal skin to primary and metastatic melanomas in humanDenis Shepelin, Mikhail Korzinkin, Anna Vanyushina, et al.
Frontiers in Molecular Biosciences|April 1, 2022
Gene Expression-Based Signature Can Predict Sorafenib Response in Kidney CancerAlexander Gudkov, Valery Shirokorad, Kirill Kashintsev, et al.
Frontiers in Oncology|May 3, 2021
Machine Learning Applicability for Classification of PAD/VCD Chemotherapy Response Using 53 Multiple Myeloma RNA Sequencing ProfilesNicolas Borisov, Anna Sergeeva, Maria Suntsova, et al.
Aging|September 28, 2016
In search for geroprotectors: in silico screening and in vitro validation of signalome-level mimetics of young healthy stateAlexander Aliper, Aleksey V Belikov, Andrew Garazha, et al.
Cell Cycle (Georgetown, Tex.)|August 22, 2017
Data aggregation at the level of molecular pathways improves stability of experimental transcriptomic and proteomic dataNicolas Borisov, Maria Suntsova, Maxim Sorokin, et al.
Pageof 3

Showing results (21-30 of 28) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 28 results.
Oncotarget|August 29, 2015
Combinatorial high-throughput experimental and bioinformatic approach identifies molecular pathways linked with the sensitivity to anticancer target drugsLarisa Venkova, Alexander Aliper, Maria Suntsova, et al.
Oncotarget|August 31, 2015
A method for predicting target drug efficiency in cancer based on the analysis of signaling pathway activationArtem Artemov, Alexander Aliper, Michael Korzinkin, et al.
Seminars in Cancer Biology|June 24, 2018
Molecular pathway activation - New type of biomarkers for tumor morphology and personalized selection of target drugsAnton Buzdin, Maxim Sorokin, Andrew Garazha, et al.
Oncotarget|December 2, 2015
Molecular pathway activation features linked with transition from normal skin to primary and metastatic melanomas in humanDenis Shepelin, Mikhail Korzinkin, Anna Vanyushina, et al.
Frontiers in Molecular Biosciences|April 1, 2022
Gene Expression-Based Signature Can Predict Sorafenib Response in Kidney CancerAlexander Gudkov, Valery Shirokorad, Kirill Kashintsev, et al.
Frontiers in Oncology|May 3, 2021
Machine Learning Applicability for Classification of PAD/VCD Chemotherapy Response Using 53 Multiple Myeloma RNA Sequencing ProfilesNicolas Borisov, Anna Sergeeva, Maria Suntsova, et al.
Aging|September 28, 2016
In search for geroprotectors: in silico screening and in vitro validation of signalome-level mimetics of young healthy stateAlexander Aliper, Aleksey V Belikov, Andrew Garazha, et al.
Cell Cycle (Georgetown, Tex.)|August 22, 2017
Data aggregation at the level of molecular pathways improves stability of experimental transcriptomic and proteomic dataNicolas Borisov, Maria Suntsova, Maxim Sorokin, et al.
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