Search

Search results

• "Correcting PCR amplification errors in unique molecular identifiers to generate accurate numbers of sequencing molecules", 2024

  Publication

  Unique molecular identifiers are random oligonucleotide sequences that remove PCR amplification biases. However, the impact that PCR associated...

  Publication on epub.uni-regensburg.de: "Correcting PCR amplification errors in unique molecular identifiers to generate accurate numbers of sequencing molecules" (external link, opens in a new window)

• "Anti Tai mapping for unordered labeled trees", Blažević, Canzar, Elbassioni, Matijević, 2024

  Publication

  Information Processing Letters 10.1016/j.ipl.2023.106454

  Publication on epub.uni-regensburg.de: "Anti Tai mapping for unordered labeled trees" (external link, opens in a new window)

• "Clinical presentation and differential splicing of SRSF2, U2AF1 and SF3B1 mutations in patients with acute myeloid leukemia", Bamopoulos, Batcha, Jurinovic, Rothenberg-Thurley, Janke, Ksienzyk, Philippou-Massier, Graf, Krebs, Blum, Schneider, Konstandin, Sauerland, Görlich, Berdel, Woermann, Bohlander, Canzar, Mansmann, Hiddemann, Braess, Spiekermann, Metzeler, Herold, 2020

  Publication

  Previous studies demonstrated that splicing factor mutations are recurrent events in hematopoietic malignancies with both clinical and functional...

  Publication on epub.uni-regensburg.de: "Clinical presentation and differential splicing of SRSF2, U2AF1 and SF3B1 mutations in patients with acute myeloid leukemia" (external link, opens in a new window)

• "Metric multidimensional scaling for large single-cell datasets using neural networks", Canzar, Do, Jelić, Laue, Matijević, Prusina, 2024

  Publication

  Metric multidimensional scaling is one of the classical methods for embedding data into low-dimensional Euclidean space. It creates the...

  Publication on epub.uni-regensburg.de: "Metric multidimensional scaling for large single-cell datasets using neural networks" (external link, opens in a new window)

• "Optimal marker genes for c-separated cell types with SepSolve", Borozan, Prusina, Borozan, Ševerdija, Rojas Ringeling, Matijević, Canzar, 2025

  Publication

  The identification of cell types in single-cell RNA-seq studies relies on the distinct expression signature of marker genes. A small set of target...

  Publication on epub.uni-regensburg.de: "Optimal marker genes for c-separated cell types with SepSolve" (external link, opens in a new window)

• "Guided Reconstruction of Full-Length Isoforms from Short Reads by CIDANE", Andreotti, Canzar, 2018

  Publication

  Alternative splicing allows genes to express isoforms with different coding or regulatory functions on demand. While short read deep sequencing...

  Publication on epub.uni-regensburg.de: "Guided Reconstruction of Full-Length Isoforms from Short Reads by CIDANE" (external link, opens in a new window)

• "Genome wide association analysis in a mouse advanced intercross line", Gonzales, Seo, Hernandez Cordero, St. Pierre, Gregory, Distler, Abney, Canzar, Lionikas, Palmer, 2018

  Publication

  The LG/J x SM/J advanced intercross line of mice (LG x SM AIL) is a multigenerational outbred population. High minor allele frequencies, a simple...

  Publication on epub.uni-regensburg.de: "Genome wide association analysis in a mouse advanced intercross line" (external link, opens in a new window)

• "Leukemia-induced dysfunctional TIM-3+CD4+ bone marrow T cells increase risk of relapse in pediatric B-precursor ALL patients", Blaeschke, Willier, Stenger, Lepenies, Horstmann, Escherich, Zimmermann, Rojas Ringeling, Canzar, Kaeuferle, Rohlfs, Binder, Klein, Feuchtinger, 2020

  Publication

  Interaction of malignancies with tissue-specific immune cells has gained interest for prognosis and intervention of emerging immunotherapies. We...

  Publication on epub.uni-regensburg.de: "Leukemia-induced dysfunctional TIM-3+CD4+ bone marrow T cells increase risk of relapse in pediatric B-precursor ALL patients" (external link, opens in a new window)

• "BiCoN: network-constrained biclustering of patients and omics data", Lazareva, Canzar, Yuan, Baumbach, Blumenthal, Tieri, Kacprowski, List, Valencia, 2020

  Publication

  MotivationUnsupervised learning approaches are frequently used to stratify patients into clinically relevant subgroups and to identify biomarkers...

  Publication on epub.uni-regensburg.de: "BiCoN: network-constrained biclustering of patients and omics data" (external link, opens in a new window)

• "Linear-time cluster ensembles of large-scale single-cell RNA-seq and multimodal data", Do, Rojas Ringeling, Canzar, 2021

  Publication

  A fundamental task in single-cell RNA-seq (scRNA-seq) analysis is the identification of transcriptionally distinct groups of cells. Numerous methods...

  Publication on epub.uni-regensburg.de: "Linear-time cluster ensembles of large-scale single-cell RNA-seq and multimodal data" (external link, opens in a new window)