Selected Publications

Selected Publications

 

  1. 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.
  2. 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.
  3. 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
  4. 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
  5. Ianevski A, Giri AK, Gautam P, Kononov A, Potdar S, Saarela J, Wennerberg K, Aittokallio T. Prediction of drug combination effects with a minimal set of experiments. Nature Machine Intelligence 2019; 1: 568–577. doi.org/10.1038/s42256-019-0122-4 PDF copy