PUB - Publikationen an der Universität Bielefeld

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• [10]
  

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

  Panda, A., et al., 2020. The composition of the human ribosome varies significantly in different normal and malignant tissues. In Proceedings: AACR Annual Meeting 2020. Cancer Research. no.80 Philadelphia: Amer Assoc Cancer Research.

  PUB | DOI | WoS
   
• [9]
  

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

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

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

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

  Lux, M., et al., 2018. flowLearn: Fast and precise identification and quality checking of cell populations in flow cytometry. Bioinformatics, 34(13), p 2245-2253.

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

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

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

  PUB | PDF
   
• [6]
  

  2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2907633

  Lux, M., et al., 2016. acdc – Automated Contamination Detection and Confidence estimation for single-cell genome data. BMC Bioinformatics, 17(1): 543.

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

  2016 | Datenpublikation | PUB-ID: 2904577

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

  PUB | Dateien verfügbar | DOI
   
• [4]
  

  2015 | Preprint | Veröffentlicht | PUB-ID: 2901613

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

  PUB
   
• [3]
  

  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2901612

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

  PUB | DOI
   
• [2]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2536426

  Mokbel, B., et al., 2012. How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning? In N. Mana, F. Schwenker, & E. Trentin, eds. Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings. Lecture Notes in Artificial Intelligence. no.7477 Springer Berlin Heidelberg, pp. 1-13.

  PUB | PDF | DOI
   
• [1]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2901616

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

  PUB | DOI