Publications

What we publish
Unveiling Our Latest findings
  1. Mirzaie, M., et al. (2023). Designing patient-oriented combination therapies for acute myeloid leukemia based on efficacy/toxicity integration and bipartite network modeling. bioRxiv, 2023.05.25.542238. Accessed May 26, 2023. https://doi.org/10.1101/2023.05.25.542238.
  2. Nickchi, P., et al. (2022). Monitoring Functional Post-Translational Modifications Using a Data-Driven Proteome Informatic Pipeline Based on PEIMAN2. bioRxiv, 2022.11.09.515610. Accessed May 26, 2023. https://doi.org/10.1101/2022.11.09.515610.
  3. Jafari, M., et al. (2022). NIMAA: an R/CRAN package to accomplish NomInal data Mining AnAlysis. bioRxiv, 2022.01.13.475835. Accessed May 26, 2023. https://doi.org/10.1101/2022.01.13.475835.
Selected publications
  1. Jafari, M., et al. 2022. “Bipartite Network Models to Design Combination Therapies in Acute Myeloid Leukaemia.” Nature Communications 13 (1): 2128.
  2. Jafari, M., et al. 2021. “Re-Evaluating Experimental Validation in the Big Data Era: A Conceptual Argument.” Genome Biology 22 (1): 71.
  3. Gholizadeh, E., et al. 2021. “Identification of Celecoxib-Targeted Proteins Using Label-Free Thermal Proteome Profiling on Rat Hippocampus.” Molecular Pharmacology 99 (5): 308–18.
  4. Barneh, F., et al. 2019. “Integrated Use of Bioinformatic Resources Reveals That Co-Targeting of Histone Deacetylases, IKBK and SRC Inhibits Epithelial-Mesenchymal Transition in Cancer.” Briefings in Bioinformatics 20 (2): 717–31.
  5. Wang, Z., et al. 2016. “Extraction and Analysis of Signatures from the Gene Expression Omnibus by the Crowd.” Nature Communications 7 (1): 12846.