Research output per year
Research output per year
Project Details
| Status | Curtailed |
|---|---|
| Effective start/end date | 1/01/18 → 1/01/18 |
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Application of WGCNA and PloGO2 in the analysis of complex proteomic data
Wu, J. X., Pascovici, D., Walker, A. K. & Mirzaei, M., 2023, Statistical Analysis of Proteomic Data: Methods and Tools. Burger, T. (ed.). New York: Springer, Springer Nature, p. 375-390 16 p. (Methods in molecular biology; vol. 2426).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
2 Link opens in a new tab Citations (Scopus) -
Unbiased label-free quantitative proteomics of cells expressing amyotrophic lateral sclerosis (ALS) mutations in CCNF reveals activation of the apoptosis pathway: a workflow to screen pathogenic gene mutations
Cheng, F., Luca, A. D., Hogan, A. L., Rayner, S. L., Davidson, J. M., Watchon, M., Stevens, C. H., Muñoz, S. S., Ooi, L., Yerbury, J. J., Don, E. K., Fifita, J. A., Villalva, M. D., Suddull, H., Chapman, T. R., Hedl, T. J., Walker, A. K., Yang, S., Morsch, M. & Shi, B. & 4 others, , 27 Apr 2021, In: Frontiers in Molecular Neuroscience. 14, p. 1-18 18 p., 627740.Research output: Contribution to journal › Article › peer-review
Open AccessFile15 Link opens in a new tab Citations (Scopus)124 Downloads (Pure) -
Workflow for rapidly extracting biological insights from complex, multicondition proteomics experiments with WGCNA and PloGO2
Wu, J. X., Pascovici, D., Wu, Y., Walker, A. K. & Mirzaei, M., 2 Jul 2020, In: Journal of Proteome Research. 19, 7, p. 2898-2906 9 p.Research output: Contribution to journal › Article › peer-review
16 Link opens in a new tab Citations (Scopus)