Pyatnitskiy M - Search Results

1

Extracting biological age from biomedical data via deep learning: too much of a good thing?

Pyrkov TV, Slipensky K, Barg M, Kondrashin A, Zhurov B, Zenin A, Pyatnitskiy M, Menshikov L, Markov S, Fedichev PO. Pyrkov TV, et al. Among authors: pyatnitskiy m. Sci Rep. 2018 Mar 26;8(1):5210. doi: 10.1038/s41598-018-23534-9. Sci Rep. 2018. PMID: 29581467 Free PMC article.

2

Quantitative characterization of biological age and frailty based on locomotor activity records.

Pyrkov TV, Getmantsev E, Zhurov B, Avchaciov K, Pyatnitskiy M, Menshikov L, Khodova K, Gudkov AV, Fedichev PO. Pyrkov TV, et al. Among authors: pyatnitskiy m. Aging (Albany NY). 2018 Oct 25;10(10):2973-2990. doi: 10.18632/aging.101603. Aging (Albany NY). 2018. PMID: 30362959 Free PMC article.

3

A universal transcriptomic signature of age reveals the temporal scaling of Caenorhabditis elegans aging trajectories.

Tarkhov AE, Alla R, Ayyadevara S, Pyatnitskiy M, Menshikov LI, Shmookler Reis RJ, Fedichev PO. Tarkhov AE, et al. Among authors: pyatnitskiy m. Sci Rep. 2019 May 14;9(1):7368. doi: 10.1038/s41598-019-43075-z. Sci Rep. 2019. PMID: 31089188 Free PMC article.

4

Comparative ranking of human chromosomes based on post-genomic data.

Ponomarenko E, Poverennaya E, Pyatnitskiy M, Lisitsa A, Moshkovskii S, Ilgisonis E, Chernobrovkin A, Archakov A. Ponomarenko E, et al. Among authors: pyatnitskiy m. OMICS. 2012 Nov;16(11):604-11. doi: 10.1089/omi.2012.0034. Epub 2012 Sep 11. OMICS. 2012. PMID: 22966780

5

Comparative Transcriptomic Analysis of Three Common Liver Cell Lines.

Arzumanian V, Pyatnitskiy M, Poverennaya E. Arzumanian V, et al. Among authors: pyatnitskiy m. Int J Mol Sci. 2023 May 15;24(10):8791. doi: 10.3390/ijms24108791. Int J Mol Sci. 2023. PMID: 37240140 Free PMC article.

6

The Size of the Human Proteome: The Width and Depth.

Ponomarenko EA, Poverennaya EV, Ilgisonis EV, Pyatnitskiy MA, Kopylov AT, Zgoda VG, Lisitsa AV, Archakov AI. Ponomarenko EA, et al. Int J Anal Chem. 2016;2016:7436849. doi: 10.1155/2016/7436849. Epub 2016 May 19. Int J Anal Chem. 2016. PMID: 27298622 Free PMC article. Review.

7

[Comparative proteomic profiling of nuclear and cytosolic fractions from cell lines of different origin].

Vakhrushev IV, Novikova SE, Tsvetkova AV, Pyatnitskiy MA, Yarygin KN. Vakhrushev IV, et al. Among authors: pyatnitskiy ma. Biomed Khim. 2018 Jun;64(3):233-240. doi: 10.18097/PBMC20186403233. Biomed Khim. 2018. PMID: 29964258 Russian.

8

Applying of hierarchical clustering to analysis of protein patterns in the human cancer-associated liver.

Petushkova NA, Pyatnitskiy MA, Rudenko VA, Larina OV, Trifonova OP, Kisrieva JS, Samenkova NF, Kuznetsova GP, Karuzina II, Lisitsa AV. Petushkova NA, et al. PLoS One. 2014 Aug 1;9(8):e103950. doi: 10.1371/journal.pone.0103950. eCollection 2014. PLoS One. 2014. PMID: 25083712 Free PMC article.

9

Predicting Functions of Uncharacterized Human Proteins: From Canonical to Proteoforms.

Poverennaya E, Kiseleva O, Romanova A, Pyatnitskiy M. Poverennaya E, et al. Among authors: pyatnitskiy m. Genes (Basel). 2020 Jun 21;11(6):677. doi: 10.3390/genes11060677. Genes (Basel). 2020. PMID: 32575886 Free PMC article.

10

Oxford Nanopore MinION Direct RNA-Seq for Systems Biology.

Pyatnitskiy MA, Arzumanian VA, Radko SP, Ptitsyn KG, Vakhrushev IV, Poverennaya EV, Ponomarenko EA. Pyatnitskiy MA, et al. Biology (Basel). 2021 Nov 4;10(11):1131. doi: 10.3390/biology10111131. Biology (Basel). 2021. PMID: 34827124 Free PMC article.

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