Alexey Sergushichev

发表

The use of evolutionary programming based on training examples for the generation of finite state machines for controlling objects with complex behavior

Anatoly Shalyto, A. V. Aleksandrov, Fedor Tsarev, 2013 .

Fast gene set enrichment analysis

Alexey Sergushichev, Vladimir Sukhov, Gennady Korotkevich, 2019, bioRxiv.

Markov chain Monte Carlo for active module identification problem

Nikita Alexeev, Alexey Sergushichev, Gennady Korotkevich, 2020, BMC Bioinformatics.

Combining De Bruijn Graphs, Overlap Graphs and Microassembly for De Novo Genome Assembly

Anatoly Shalyto, Fedor Tsarev, Alexey Sergushichev, 2013 .

An algorithm for fast preranked gene set enrichment analysis using cumulative statistic calculation

Alexey Sergushichev, A. Sergushichev, 2016 .

Soft Vertex Classification for Active Module Problem

Nikita Alexeev, Alexey Sergushichev, Javlon E. Isomurodov, 2018, RECOMB 2018.

Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species

Inanç Birol, Dominique Lavenier, Hamidreza Chitsaz, 2013, GigaScience.

Mitochondrial Phosphoenolpyruvate Carboxykinase Regulates Metabolic Adaptation and Enables Glucose-Independent Tumor Growth.

Alexey Sergushichev, Emma E. Vincent, Maxim N. Artyomov, 2015, Molecular cell.

The miR-17∼92 microRNA Cluster Is a Global Regulator of Tumor Metabolism.

Alexey Sergushichev, Maxim N. Artyomov, Maxim N Artyomov, 2016, Cell reports.