@conference{ESHG2022analyzing,
  added-at = {2023-02-13T23:56:48.000+0100},
  author = {Tang, Ming and Antic, Zeljko and Pietzsch, Stefan and Lentes, Jana and Hofmann, Winfriede and Cario, Gunnar and Escherich, Gabriele and Udo Zu Stadt, Udo and Schlegelberger, Brigitte and Horstmann, Martin and Stanulla, Martin and Bergmann, Anke Katharina},
  biburl = {https://www.bibsonomy.org/bibtex/2bad22f284b3f044570abd165485c0c49/tangm},
  interhash = {11a4cbd85add088b0b777fa28ac4402c},
  intrahash = {bad22f284b3f044570abd165485c0c49},
  keywords = {l3s leibnizailab myown},
  timestamp = {2023-02-14T11:55:48.000+0100},
  title = {Analyzing clinical RNAseq data with machine learning models greatly improves the genetic diagnosis in pediatric acute lymphoblastic leukemia},
  year = 2022
}