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Using Deep Learning to Extrapolate Protein Expression Measurements.
Barzine MP, Freivalds K, Wright JC, Opmanis M, Rituma D, Ghavidel FZ, Jarnuczak AF, Celms E, Čerāns K, Jonassen I, Lace L, Vizcaíno JA, Choudhary JS, Brazma A, Viksna J. Barzine MP, et al. Among authors: brazma a. Proteomics. 2020 Nov;20(21-22):e2000009. doi: 10.1002/pmic.202000009. Epub 2020 Oct 16. Proteomics. 2020. PMID: 32937025 Free PMC article.
Building and analysing genome-wide gene disruption networks.
Rung J, Schlitt T, Brazma A, Freivalds K, Vilo J. Rung J, et al. Among authors: brazma a. Bioinformatics. 2002;18 Suppl 2:S202-10. doi: 10.1093/bioinformatics/18.suppl_2.s202. Bioinformatics. 2002. PMID: 12386004
Reconstruction of gene regulatory networks under the finite state linear model.
Ruklisa D, Brazma A, Viksna J. Ruklisa D, et al. Among authors: brazma a. Genome Inform. 2005;16(2):225-36. Genome Inform. 2005. PMID: 16901105
We study the Finite State Linear Model (FSLM) for modelling gene regulatory networks proposed by A. Brazma and T. Schlitt in [4]. The model incorporates biologically intuitive gene regulatory mechanism similar to that in Boolean networks, and can describe also the c …
We study the Finite State Linear Model (FSLM) for modelling gene regulatory networks proposed by A. Brazma and T. Schlitt in [ …
A System for Information Management in BioMedical Studies--SIMBioMS.
Krestyaninova M, Zarins A, Viksna J, Kurbatova N, Rucevskis P, Neogi SG, Gostev M, Perheentupa T, Knuuttila J, Barrett A, Lappalainen I, Rung J, Podnieks K, Sarkans U, McCarthy MI, Brazma A. Krestyaninova M, et al. Among authors: brazma a. Bioinformatics. 2009 Oct 15;25(20):2768-9. doi: 10.1093/bioinformatics/btp420. Epub 2009 Jul 24. Bioinformatics. 2009. PMID: 19633095 Free PMC article.
226 results