PUB - Publikationen an der Universität Bielefeld

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• [10]
  

  2020 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2952742

  A. Panda, et al., “The composition of the human ribosome varies significantly in different normal and malignant tissues”, Proceedings: AACR Annual Meeting 2020, Cancer Research, vol. 80, Philadelphia: Amer Assoc Cancer Research, 2020.

  PUB | DOI | WoS
   
• [9]
  

  2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2944327

  A. Panda, et al., “Tissue- and development-stage-specific mRNA and heterogeneous CNV signatures of human ribosomal proteins in normal and cancer samples.”, Nucleic acids research, 2020.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [8]
  

  2018 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2917896

  M. Lux, et al., “flowLearn: Fast and precise identification and quality checking of cell populations in flow cytometry”, Bioinformatics, vol. 34, 2018, pp. 2245-2253.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [7]
  

  2018 | Bielefelder E-Dissertation | PUB-ID: 2919673

  M. Lux, Efficient Grouping Methods for the Annotation and Sorting of Single Cells, Bielefeld: Universität Bielefeld, 2018.

  PUB | PDF
   
• [6]
  

  2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2907633

  M. Lux, et al., “acdc – Automated Contamination Detection and Confidence estimation for single-cell genome data”, BMC Bioinformatics, vol. 17, 2016, : 543.

  PUB | PDF | DOI | WoS | PubMed | Europe PMC
   
• [5]
  

  2016 | Datenpublikation | PUB-ID: 2904577

  M. Lux, Acdc evaluation data , Bielefeld University, 2016.

  PUB | Dateien verfügbar | DOI
   
• [4]
  

  2015 | Preprint | Veröffentlicht | PUB-ID: 2901613

  M. Lux, B. Hammer, and A. Sczyrba, “Automated Contamination Detection in Single-Cell Sequencing”, bioRxiv, 2015.

  PUB
   
• [3]
  

  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2901612

  M. Lux, A. Sczyrba, and B. Hammer, “Automatic discovery of metagenomic structure”, 2015 International Joint Conference on Neural Networks (IJCNN), Institute of Electrical & Electronics Engineers (IEEE), 2015.

  PUB | DOI
   
• [2]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2536426

  B. Mokbel, et al., “How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?”, Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings, N. Mana, F. Schwenker, and E. Trentin, eds., Lecture Notes in Artificial Intelligence, vol. 7477, Springer Berlin Heidelberg, 2012, pp.1-13.

  PUB | PDF | DOI
   
• [1]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2901616

  M. Lux, et al., “An Online Platform for Visualizing Lexical Networks”, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, Association for Computing Machinery, et al., eds., Piscataway, NJ: Institute of Electrical & Electronics Engineers (IEEE), 2011.

  PUB | DOI