Kuijjer Lab

Recent Posts

  • May 21, 2021

    Marieke joined the editorial board of Bioinformatics Advances

    Marieke joined the editorial board of the new Oxford University Press journal Bioinformatics Advances. Bioinformatics Advances is an interdisciplinary journal on bioinformatics and computational biology that covers bioinformatics methods as well as biological contributions for which the application of advanced computational methods is essential. Published jointly by Oxford University Press and by the International Society for Computational Biology, it is a fully open access, peer-reviewed journal....

  • May 10, 2021

    New summer student

    We are very excited to announce that Shanna Schneidewind has joined the lab as a summer student from the University of Poitiers, France. Shanna will be working with us for the next 3 months, focusing on modeling interactions between biological pathways and clinical features in cancer.

  • April 12, 2021

    Postdoctoral position available

    We have an open position for a 3-year postdoctoral fellowship regarding patient-specific gene regulatory network analysis in breast cancer. Please check the open positions page for more information.

  • April 06, 2021

    New group member

    We are very excited to announce that Daniel Osorio has joined the lab as a postdoctoral fellow through the Marie Curie Scientia Fellows II program. Daniel is joining us from the University of A&M Texas, where he did his PhD in the group of James Cai. Daniel will be working on regulatory network modeling in single-cell data. Here's a news article to learn more.

  • March 26, 2021

    New BioRχiv pre-print

    We have a new BioRχiv pre-print by Ping-Han! Ping-Han found that certain normalization methods, in specific quantile-based methods, can introduce false positive associations in co-expression measurements. However, there methods can be very powerful. Smooth quantile normalization, for example, allows one to normalize heterogeneous data, while keeping global expression differences between different subgroups of samples. Ping-Han therefore developed a new algorithm, called CAIMAN, to correct for these false-positive associations....