Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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Bayesian analysis of bladder cancer subtypes based on high-throughput data

2016/21/N/ST6/01507

Keywords:

integrative mathematical modelling bayesian data analysis bladder cancer onkogeneza

Descriptors:

  • ST6_13: Bioinformatics, biocomputing, DNA and molecular computation
  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • NZ2_10: Biological systems analysis, modelling and simulation

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki

woj. mazowieckie

Other projects carried out by the institution 

Principal investigator (from the host institution):

Krzysztof Gogolewski 

Number of co-investigators in the project: 3

Call: PRELUDIUM 11 - announced on 2016-03-15

Amount awarded: 75 400 PLN

Project start date (Y-m-d): 2017-02-17

Project end date (Y-m-d): 2019-11-16

Project duration:: 33 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Equipment purchased [PL]

  1. Komputer przenośny + akcesoria (7 000 PLN)

Information in the final report

  • Publication in academic press/journals (2)
  • Articles in post-conference publications (2)
  1. Inferring Molecular Processes Heterogeneity from Transcriptional Data
    Authors:
    Krzysztof Gogolewski, Weronika Wronowska, Agnieszka Lech, Bogdan Lesyng, and Anna Gambin
    Academic press:
    BioMed Research International (rok: 2017, tom: 2017, strony: 14), Wydawca: Hindawi
    Status:
    Published
    DOI:
    10.1155/2017/6961786 - link to the publication
  2. Truncated robust principal component analysis and noise reduction for single cell RNA-seq data
    Authors:
    Krzysztof Gogolewski, Maciej Sykulski, Neo Christopher Chung and Anna Gambin
    Academic press:
    Journal of Computational Biology (rok: 2019, tom: 1,08888888888889, strony: 782-793), Wydawca: Mary Ann Liebert
    Status:
    Published
    DOI:
    10.1089/cmb.2018.0255 - link to the publication
  1. Renal cell carcinoma classification: a case study of pitfalls associated with metabolic landscape analysis
    Authors:
    Krzysztof Gogolewski, Marcin Kostecki, Anna Gambin
    Conference:
    2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (rok: 2018, ), Wydawca: IEEE
    Data:
    konferencja 03.12-06.12
    Status:
    Published
  2. Truncated Robust Principal Component Analysis and Noise Reduction for Single Cell RNA-seq Data
    Authors:
    Krzysztof Gogolewski, Maciej Sykulski, Neo Christopher Chung and Anna Gambin
    Conference:
    International Symposium on Bioinformatics Research and Applications (rok: 2018, ), Wydawca: Springer, Cham
    Data:
    konferencja 8,06
    Status:
    Published

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