Zobrazeno 1 - 10
of 271
pro vyhledávání: '"A V, Favorov"'
Publikováno v:
IEEE Access, Vol 12, Pp 155851-155866 (2024)
Contextually Guided Convolutional Neural Networks (CG-CNNs) employ self-supervision and contextual information to develop transferable features across diverse domains, including visual, tactile, temporal, and textual data. This work showcases the ada
Externí odkaz:
https://doaj.org/article/8a9a0b5d6dec4b369a6d8a7560f5fd6d
Autor:
Yakov A. Lomakin, Ivan V. Zvyagin, Leyla A. Ovchinnikova, Marsel R. Kabilov, Dmitriy B. Staroverov, Artem Mikelov, Alexey E. Tupikin, Maria Y. Zakharova, Nadezda A. Bykova, Vera S. Mukhina, Alexander V. Favorov, Maria Ivanova, Taras Simaniv, Yury P. Rubtsov, Dmitriy M. Chudakov, Maria N. Zakharova, Sergey N. Illarioshkin, Alexey A. Belogurov, Alexander G. Gabibov
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
BackgroundB lymphocytes play a pivotal regulatory role in the development of the immune response. It was previously shown that deficiency in B regulatory cells (Bregs) or a decrease in their anti-inflammatory activity can lead to immunological dysfun
Externí odkaz:
https://doaj.org/article/d528caab928e4513a84bb21ec05cf1a7
Autor:
Sergey Abramov, Alexandr Boytsov, Daria Bykova, Dmitry D. Penzar, Ivan Yevshin, Semyon K. Kolmykov, Marina V. Fridman, Alexander V. Favorov, Ilya E. Vorontsov, Eugene Baulin, Fedor Kolpakov, Vsevolod J. Makeev, Ivan V. Kulakovskiy
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Single-nucleotide variants in enhancers or promoters may affect gene transcription by altering transcription factor binding sites. Here the authors present a meta-analysis empowered by a new statistical method covering thousands of ChIP-Seq experimen
Externí odkaz:
https://doaj.org/article/fb8abbc7f0654d9bb7b8ee5f2d4d9a03
Autor:
A. V. Stolyarova, E. Nabieva, V. V. Ptushenko, A. V. Favorov, A. V. Popova, A. D. Neverov, G. A. Bazykin
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Amino acid propensities at sites change over evolutionary time, due to epistatically interacting sites or environmental changes. Here, the authors develop an approach to distinguish between these, and model the fitness dynamics of each, then annotate
Externí odkaz:
https://doaj.org/article/213aa9e55536498986b528f274267ef7
Autor:
Mizuo Ando, Yuki Saito, Guorong Xu, Nam Q. Bui, Kate Medetgul-Ernar, Minya Pu, Kathleen Fisch, Shuling Ren, Akihiro Sakai, Takahito Fukusumi, Chao Liu, Sunny Haft, John Pang, Adam Mark, Daria A. Gaykalova, Theresa Guo, Alexander V. Favorov, Srinivasan Yegnasubramanian, Elana J. Fertig, Patrick Ha, Pablo Tamayo, Tatsuya Yamasoba, Trey Ideker, Karen Messer, Joseph A. Califano
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-15 (2019)
In tumours aberrant epigenetic modifications can alter the transcriptional state. Here, the authors identify a common tumour-specific shift to transcriptional repression associated with DNA methylation and chromatin dysregulation at the transcription
Externí odkaz:
https://doaj.org/article/92171efeb0c747ec87436ef09a8ab860
Multiple Sclerosis Is Associated with Immunoglobulin Germline Gene Variation of Transitional B Cells
Autor:
Yakov A. Lomakin, Leyla A. Ovchinnikova, M. N. Zakharova, M. V. Ivanova, T. O. Simaniv, M. R. Kabilov, N. A. Bykova, V. S. Mukhina, A. N. Kaminskaya, A. E. Tupikin, M. Y. Zakharova, A. V. Favorov, S. N. Illarioshkin, A. A. Belogurov, A. G. Gabibov
Publikováno v:
Acta Naturae. 14:84-93
The regulatory functions of the B-cell compartment play an important role in the development and suppression of the immune response. Disruption of their anti-inflammatory functions may lead to the acceleration of immunopathological processes, and to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6333b08471f620eab1db158c616539d5
https://doi.org/10.32607/actanaturae.11794
https://doi.org/10.32607/actanaturae.11794
Autor:
Jameson Holden, Eric Francisco, Anna Tommerdahl, Rachel Lensch, Bryan Kirsch, Laila Zai, Alan J. Pearce, Oleg V. Favorov, Robert G. Dennis, Mark Tommerdahl
Publikováno v:
Frontiers in Human Neuroscience, Vol 14 (2020)
Reaction time testing is widely used in online computerized concussion assessments, and most concussion studies utilizing the metric have demonstrated varying degrees of difference between concussed and non-concussed individuals. The problem with mos
Externí odkaz:
https://doaj.org/article/f3fd9aea02794b01a074d4fa2a6b745d
Autor:
Tatiana Lopatina, Enrica Favaro, Ludmila Danilova, Elana J. Fertig, Alexander V. Favorov, Luciane T. Kagohara, Tiziana Martone, Benedetta Bussolati, Renato Romagnoli, Roberto Albera, Giancarlo Pecorari, Maria Felice Brizzi, Giovanni Camussi, Daria A. Gaykalova
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 8 (2020)
Head and neck squamous cell carcinoma (HNSCC) has a high recurrence and metastatic rate with an unknown mechanism of cancer spread. Tumor inflammation is the most critical processes of cancer onset, growth, and metastasis. We hypothesize that the rel
Externí odkaz:
https://doaj.org/article/3f57d57f6592444bb1d03d52e863e046
Autor:
Genevieve Stein-O’Brien, Luciane T. Kagohara, Sijia Li, Manjusha Thakar, Ruchira Ranaweera, Hiroyuki Ozawa, Haixia Cheng, Michael Considine, Sandra Schmitz, Alexander V. Favorov, Ludmila V. Danilova, Joseph A. Califano, Evgeny Izumchenko, Daria A. Gaykalova, Christine H. Chung, Elana J. Fertig
Publikováno v:
Genome Medicine, Vol 10, Iss 1, Pp 1-22 (2018)
Abstract Background Targeted therapies specifically act by blocking the activity of proteins that are encoded by genes critical for tumorigenesis. However, most cancers acquire resistance and long-term disease remission is rarely observed. Understand
Externí odkaz:
https://doaj.org/article/840ecdadd96d4faa9799065ff37c62d1
Autor:
Dmitry D. Penzar, Arsenii O. Zinkevich, Ilya E. Vorontsov, Vasily V. Sitnik, Alexander V. Favorov, Vsevolod J. Makeev, Ivan V. Kulakovskiy
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
Many problems of modern genetics and functional genomics require the assessment of functional effects of sequence variants, including gene expression changes. Machine learning is considered to be a promising approach for solving this task, but its pr
Externí odkaz:
https://doaj.org/article/d94dcfa313614b5998d303b76abeb13b