Laboratory of bioinformatics and computational systems biology

Fingerprint Dive into the research topics where Laboratory of bioinformatics and computational systems biology is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Independent component analysis Engineering & Materials Science
Calcitriol Receptors Medicine & Life Sciences
Electromagnetic Fields Medicine & Life Sciences
Graphite Medicine & Life Sciences
Systems Analysis Medicine & Life Sciences
Sputum Medicine & Life Sciences
Mycobacterium tuberculosis Medicine & Life Sciences
Silver Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Profiles

No photo of Ulykbek Kairov

Ulykbek Kairov, PhD

Person: Researcher

20122019
No photo of Askhat Molkenov

Askhat Molkenov

Person: Researcher

20142019

Research Output 2013 2019

  • 1 Citations
  • 1 h-Index
  • 6 Article
  • 1 Chapter
  • 1 Conference contribution
  • 1 Review article

Assessing reproducibility of matrix factorization methods in independent transcriptomes

Kairov, U., Apr 2019, In : Bioinformatics.

Research output: Contribution to journal › Article

Open Access

Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets

Sompairac, N., Nazarov, P. V., Czerwinska, U., Cantini, L., Biton, A., Molkenov, A., Zhumadilov, Z., Barillot, E., Radvanyi, F., Gorban, A., Kairov, U. & Zinovyev, A., Sep 7 2019, In : International Journal of Molecular Sciences. 20, 18

Research output: Contribution to journal › Review article

Open Access
Independent component analysis
Systems Analysis
cancer
Proteome
Principal Component Analysis
1 Citation (Scopus)

Application of independent component analysis to tumor transcriptomes reveals specific and reproducible immune-related signals

Czerwinska, U., Cantini, L., Kairov, U., Barillot, E. & Zinovyev, A., Jan 1 2018, Latent Variable Analysis and Signal Separation - 14th International Conference, LVA/ICA 2018, Proceedings. Springer Verlag, p. 501-513 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10891 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Independent component analysis
Independent Component Analysis
Tumors
Tumor
Signal Analysis