Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data. - Sergey E. Golovenkin; Jonathan Bac; Alexander Chervov; Evgeny M. Mirkes; Yuliya V. Orlova; Emmanuel Barillot; Alexander N. Gorban; Andrei Yu. Zinovyev (CoRR, 2020)

Minimum Spanning vs. Principal Trees for Structured Approximations of Multi-Dimensional Datasets. - Alexander Chervov; Jonathan Bac; Andrei Yu. Zinovyev (Entropy, 2020)

Clinical trajectories estimated from bulk tumoral molecular profiles using elastic principal trees. - Alexander Chervov; Andrei Yu. Zinovyev (IJCNN, 2021)

Hubness reduction improves clustering and trajectory inference in single-cell transcriptomic data. - Elise Amblard; Jonathan Bac; Alexander Chervov; Vassili Soumelis; Andrei Yu. Zinovyev (Bioinform., 2022)

A Machine Learning Approach That Beats Large Rubik's Cubes. - Alexander Chervov; Kirill Khoruzhii; Nikita Bukhal; Jalal Naghiyev; Vladislav Zamkovoy; Ivan Koltsov; Lyudmila Cheldieva; Arsenii Sychev; Arsenii Lenin; Mark Obozov; Egor Urvanov; Alexey Romanov (CoRR, 2025)