Bioinformatics

Displaying 1 - 9 of 9
Martí, J. M., Hsu, C., Rochereau, C., Xu, C., Blazejewski, T., Nisonoff, H., Leonard, S. P., Kang-Yun, C. S., Chlebek, J., Ricci, D. P., Park, D., Wang, H., Listgarten, J., Jiao, Y., & Allen, J. E. (2024). GENTANGLE: integrated computational design of gene entanglements. Bioinformatics, 40(7). https://doi.org/10.1093/bioinformatics/btae380
Publication Date
Xu, H., Wang, T., Miao, Y., Qian, M., Yang, Y., & Wang, S. (2024). MK-BMC: a Multi-Kernel framework with Boosted distance metrics for Microbiome data for Classification. Bioinformatics, 40(1). https://doi.org/10.1093/bioinformatics/btad757
Publication Date
Caufield, J. H., Putman, T., Schaper, K., Unni, D. R., Hegde, H., Callahan, T. J., Cappelletti, L., Moxon, S. A. T., Ravanmehr, V., Carbon, S., Chan, L. E., Cortes, K., Shefchek, K. A., Elsarboukh, G., Balhoff, J., Fontana, T., Matentzoglu, N., Bruskiewich, R. M., Thessen, A. E., … Reese, J. T. (2023). KG-Hub—building and exchanging biological knowledge graphs. Bioinformatics, 39(7). https://doi.org/10.1093/bioinformatics/btad418
Publication Date
Tian, P., Yao, M., Huang, T., & Liu, Z. (2022). CoxMKF: a knockoff filter for high-dimensional mediation analysis with a survival outcome in epigenetic studies. Bioinformatics, 38(23), 5229–5235. https://doi.org/10.1093/bioinformatics/btac687
Publication Date
Oluwayiose, O. A., Wu, H., Gao, F., Baccarelli, A. A., Sofer, T., & Pilsner, J. R. (2022). Aclust2.0: a revamped unsupervised R tool for Infinium methylation beadchips data analyses. Bioinformatics, 38(20), 4820–4822. https://doi.org/10.1093/bioinformatics/btac583
Publication Date
Skok Gibbs, C., Jackson, C. A., Saldi, G.-A., Tjärnberg, A., Shah, A., Watters, A., De Veaux, N., Tchourine, K., Yi, R., Hamamsy, T., Castro, D. M., Carriero, N., Gorissen, B. L., Gresham, D., Miraldi, E. R., & Bonneau, R. (2022). High-performance single-cell gene regulatory network inference at scale: the Inferelator 3.0. Bioinformatics, 38(9), 2519–2528. https://doi.org/10.1093/bioinformatics/btac117
Publication Date
Yan, Q., Forno, E., Celedón, J. C., Chen, W., & Weeks, D. E. (2021). CHIT: an allele-specific method for testing the association between molecular quantitative traits and phenotype–genotype interaction. Bioinformatics, 37(24), 4764–4770. https://doi.org/10.1093/bioinformatics/btab554
Publication Date