Selected Publications

  1. Yingjia Chen, Liye He, Aleksandr Ianevski, Pilar Ayuda-Durán, Swapnil Potdar, Jani Saarela, Juho J. Miettinen, Sari Kytölä, Susanna Miettinen, Mikko Manninen, Caroline A. Heckman, Jorrit M. Enserink, Krister Wennerberg & Tero Aittokallio. Robust scoring of selective drug responses for patient-tailored therapy selection. Nature Protocols 2023. https://doi.org/10.1038/s41596-023-00903-x
  2. Zhao Z, Wang S, Zucknick M, Aittokallio T. Tissue-specific identification of multi-omics features for pan-cancer drug response prediction. iScience 2022;25:104767. doi: 10.1016/j.isci.2022.104767
  3. Ianevski A, Giri AK, Aittokallio T. Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data. Nature Communications 2022; 13: 1246. http://doi.org/10.1038/s41467-022-28803-w.
  4. Cichońska A, Ravikumar B, Allaway RJ, Wan F, Park S, Isayev O, Li S, Mason M, Lamb A, Tanoli Z, Jeon M, Kim S, Popova M, Capuzzi S, Zeng J, Dang K, Koytiger G, Kang J, Wells CI, Willson TM; IDG-DREAM Drug-Kinase Binding Prediction Challenge Consortium, Oprea TI, Schlessinger A, Drewry DH, Stolovitzky G, Wennerberg K, Guinney J, Aittokallio T. Crowdsourced mapping of unexplored target space of kinase inhibitors. Nature Communications 2021;12:3307. doi: 10.1038/s41467-021-23165-1.
  5. Akimov Y, Bulanova D, Timonen S, Wennerberg K, Aittokallio T. Improved detection of differentially represented DNA barcodes for high-throughput clonal phenomics. Molecular Systems Biology 2020; 16: e9195. doi.org/10.15252/msb.20199195
  6. Ianevski A, Lahtela J, Javarappa KK, Sergeev P, Ghimire BR, Gautam P, Vähä-Koskela M, Turunen L, Linnavirta N, Kuusanmäki H, Kontro M, Porkka K, Heckman CA, Mattila P, Wennerberg K, Giri AK, Aittokallio T.  Patient-tailored design for selective co-inhibition of leukemic cell subpopulations. Science Advances 2020; 7: eabe4038, DOI: 10.1126 / sciadv.abe4038
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