Showing results (1-10 of 13) with videos related to
Sort By:
Pageof 2
Metabolites|October 27, 2022
Analysis of Primary Liquid Chromatography Mass Spectrometry Data by Neural Networks for Plant Samples ClassificationPolina Turova, Andrey Stavrianidi, Viktor Svekolkin, et al.Frontiers in Oncology|July 31, 2025
Machine learning-based single-sample molecular classifier for cancer gradingZoia Antysheva, Nikita Kotlov, Mariia V Guryleva, et al.Human Genetics|December 2, 2025
MutAnt: mutation annotation tool predicts deleteriousness of missense mutations and improves mutation calling from transcriptomicsAleksandr Sarachakov, Anastasiya Yudina, Viktor Svekolkin, et al.Cancer Cell|May 21, 2021
Conserved pan-cancer microenvironment subtypes predict response to immunotherapyAlexander Bagaev, Nikita Kotlov, Krystle Nomie, et al.Blood|September 29, 2023
Spatial mapping of human hematopoiesis at single-cell resolution reveals aging-associated topographic remodelingAleksandr Sarachakov, Arina Varlamova, Viktor Svekolkin, et al.Cell Reports. Medicine|August 20, 2025
AI-driven multimodal algorithm predicts immunotherapy and targeted therapy outcomes in clear cell renal cell carcinomaDanil Stupichev, Natalia Miheecheva, Ekaterina Postovalova, et al.Cell Reports|August 17, 2022
Multiregional single-cell proteogenomic analysis of ccRCC reveals cytokine drivers of intratumor spatial heterogeneityNatalia Miheecheva, Ekaterina Postovalova, Yang Lyu, et al.Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|March 27, 2021
Single-cell Spatial Proteomic Revelations on the Multiparametric MRI Heterogeneity of Clinically Significant Prostate CancerRussell K Pachynski, Eric H Kim, Natalia Miheecheva, et al.Cancer Discovery|February 5, 2021
Clinical and Biological Subtypes of B-cell Lymphoma Revealed by Microenvironmental SignaturesNikita Kotlov, Alexander Bagaev, Maria V Revuelta, et al.Cancer Cell|August 9, 2022
Precise reconstruction of the TME using bulk RNA-seq and a machine learning algorithm trained on artificial transcriptomesAleksandr Zaitsev, Maksim Chelushkin, Daniiar Dyikanov, et al.Pageof 2