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Pediatric practice and education in the genomic/postgenomic era.

The Journal of pediatrics

Chesney RW, Friedman A, Kanto WP, Stanton BF, Stull TL.
PMID: 12378177
J Pediatr. 2002 Oct;141(4):453-8. doi: 10.1067/mpd.2002.128030.

No abstract available.

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Chesney RW, Friedman A, Kanto WP, et al. Pediatric practice and education in the genomic/postgenomic era. J Pediatr. 2002;141(4):453-8doi: 10.1067/mpd.2002.128030.
Chesney, R. W., Friedman, A., Kanto, W. P., Stanton, B. F., Stull, T. L. (2002). Pediatric practice and education in the genomic/postgenomic era. The Journal of pediatrics, 141(4), 453-8. https://doi.org/10.1067/mpd.2002.128030
Chesney, Russell W, et al. "Pediatric practice and education in the genomic/postgenomic era." The Journal of pediatrics vol. 141,4 (2002): 453-8. doi: https://doi.org/10.1067/mpd.2002.128030
Chesney RW, Friedman A, Kanto WP, Stanton BF, Stull TL. Pediatric practice and education in the genomic/postgenomic era. J Pediatr. 2002 Oct;141(4):453-8. doi: 10.1067/mpd.2002.128030. PMID: 12378177.
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Edge-based analysis of networks: curvatures of graphs and hypergraphs.

Theory in biosciences = Theorie in den Biowissenschaften

Eidi M, Farzam A, Leal W, Samal A, Jost J.
PMID: 33216293
Theory Biosci. 2020 Dec;139(4):337-348. doi: 10.1007/s12064-020-00328-0. Epub 2020 Nov 20.

The relations, rather than the elements, constitute the structure of networks. We therefore develop a systematic approach to the analysis of networks, modelled as graphs or hypergraphs, that is based on structural properties of (hyper)edges, instead of vertices. For...

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Eidi M, Farzam A, Leal W, et al. Edge-based analysis of networks: curvatures of graphs and hypergraphs. Theory Biosci. 2020;139(4):337-348doi: 10.1007/s12064-020-00328-0.
Eidi, M., Farzam, A., Leal, W., Samal, A., & Jost, J. (2020). Edge-based analysis of networks: curvatures of graphs and hypergraphs. Theory in biosciences = Theorie in den Biowissenschaften, 139(4), 337-348. https://doi.org/10.1007/s12064-020-00328-0
Eidi, Marzieh, et al. "Edge-based analysis of networks: curvatures of graphs and hypergraphs." Theory in biosciences = Theorie in den Biowissenschaften vol. 139,4 (2020): 337-348. doi: https://doi.org/10.1007/s12064-020-00328-0
Eidi M, Farzam A, Leal W, Samal A, Jost J. Edge-based analysis of networks: curvatures of graphs and hypergraphs. Theory Biosci. 2020 Dec;139(4):337-348. doi: 10.1007/s12064-020-00328-0. Epub 2020 Nov 20. PMID: 33216293; PMCID: PMC7719116.
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Ensemble Classifiers for Multiclass MicroRNA Classification.

Methods in molecular biology (Clifton, N.J.)

Odenthal L, Allmer J, Yousef M.
PMID: 34432282
Methods Mol Biol. 2022;2257:235-254. doi: 10.1007/978-1-0716-1170-8_12.

Gene regulation is of utmost importance to cell homeostasis; thus, any dysregulation in it often leads to disease. MicroRNAs (miRNAs) are involved in posttranscriptional gene regulation and consequently, their dysregulation has been associated with many diseases.MiRBase version 21 contains...

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Odenthal L, Allmer J, Yousef M. Ensemble Classifiers for Multiclass MicroRNA Classification. Methods Mol Biol. 2022;2257:235-254doi: 10.1007/978-1-0716-1170-8_12.
Odenthal, L., Allmer, J., & Yousef, M. (2022). Ensemble Classifiers for Multiclass MicroRNA Classification. Methods in molecular biology (Clifton, N.J.), 2257235-254. https://doi.org/10.1007/978-1-0716-1170-8_12
Odenthal, Luise, et al. "Ensemble Classifiers for Multiclass MicroRNA Classification." Methods in molecular biology (Clifton, N.J.) vol. 2257 (2022): 235-254. doi: https://doi.org/10.1007/978-1-0716-1170-8_12
Odenthal L, Allmer J, Yousef M. Ensemble Classifiers for Multiclass MicroRNA Classification. Methods Mol Biol. 2022;2257:235-254. doi: 10.1007/978-1-0716-1170-8_12. PMID: 34432282.
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Fold change and p-value cutoffs significantly alter microarray interpretations.

BMC bioinformatics

Dalman MR, Deeter A, Nimishakavi G, Duan ZH.
PMID: 22536862
BMC Bioinformatics. 2012 Mar 13;13:S11. doi: 10.1186/1471-2105-13-S2-S11.

BACKGROUND: As context is important to gene expression, so is the preprocessing of microarray to transcriptomics. Microarray data suffers from several normalization and significance problems. Arbitrary fold change (FC) cut-offs of >2 and significance p-values of

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Dalman MR, Deeter A, Nimishakavi G, et al. Fold change and p-value cutoffs significantly alter microarray interpretations. BMC Bioinformatics. 2012;13:S11doi: 10.1186/1471-2105-13-S2-S11.
Dalman, M. R., Deeter, A., Nimishakavi, G., & Duan, Z. H. (2012). Fold change and p-value cutoffs significantly alter microarray interpretations. BMC bioinformatics, 13S11. https://doi.org/10.1186/1471-2105-13-S2-S11
Dalman, Mark R, et al. "Fold change and p-value cutoffs significantly alter microarray interpretations." BMC bioinformatics vol. 13 (2012): S11. doi: https://doi.org/10.1186/1471-2105-13-S2-S11
Dalman MR, Deeter A, Nimishakavi G, Duan ZH. Fold change and p-value cutoffs significantly alter microarray interpretations. BMC Bioinformatics. 2012 Mar 13;13:S11. doi: 10.1186/1471-2105-13-S2-S11. PMID: 22536862; PMCID: PMC3305783.
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Showing 61 to 64 of 64 entries