Ulykbek Kairov, PhD

Head of Laboratory, Lead Researcher

Accepting PhD Students

PhD projects

1. Deconvolution of cancer multi-omics profiles (microarrays, RNA-seq, scRNA-seq, methylation) using Independent Component Analysis. 2. Identification and analysis of Kazakh specific genomic variants from whole-genome/exome datasets. 3. Comprehensive transcriptome profiling by NGS and analysis of patients with esophageal cancer from Kazakhstan.

  • 28 Citations
  • 3 h-Index
20122019
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Personal profile

External positions

Fingerprint Dive into the research topics where Ulykbek Kairov is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Transcriptome Medicine & Life Sciences
Neoplasm Genes Medicine & Life Sciences
Independent component analysis Chemical Compounds
Factorization Chemical Compounds
Independent Component Analysis Mathematics
Kazakhstan Medicine & Life Sciences
Genome Medicine & Life Sciences
Neoplasms Medicine & Life Sciences

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

Research Output 2012 2019

  • 28 Citations
  • 3 h-Index
  • 13 Article
  • 1 Chapter
  • 1 Conference contribution
  • 1 Review article
Open Access

Assessing reproducibility of matrix factorization methods in independent transcriptomes

Cantini, L., Kairov, U., De Reyniès, A., Barillot, E., Radvanyi, F., Zinovyev, A. & Birol, I., Nov 1 2019, In : Bioinformatics. 35, 21, p. 4307-4313 7 p.

Research output: Contribution to journalArticle

Open Access
Factorization Method
Matrix Factorization
Reproducibility
Matrix Method
Factorization

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 journalReview 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 proceedingConference contribution

Independent component analysis
Independent Component Analysis
Tumors
Tumor
Signal Analysis

Genetic Epidemiologyof Ventricular Tachycardia in Patients with Cardiomyopathy in Kazakhstan: ATargeted Sequencing Study

Bekbossynova, M., Akilzhanova, A., Guelly, C., Abilova, Z., Akhmetova, A., Kairov, U., Nuralinov, O., Rashbayeva, G., Trajanoski, S., Abdirova, B. & Zhumadilov, Z., Apr 1 2018, In : Journal of Heart and Lung Transplantation. 37, 4, p. S322

Research output: Contribution to journalArticle