Seminars

Feel free to join theta online seminars.
The meeting time is Monday at 13:15 – 14:15. Stay tuned and follow the schedule below.
Contact person: Marek Sztuka.

Winter semester 2023/2024

Seminar schedule:

  • 11.12.23 – Jakub Liu – Linear optimalization
  • 4.12.23 – Krzysztof Kotlarz – The application of SCCS model on Infections in Multiple Myeloma Patients Treated with Anti-BCMA Bispecific Antibodies
  • 27.11.23 – Piotr Hajduk – Dietary Lipid:Protein Ratio and n-3 Long-Chain Polyunsaturated Fatty Acids Alters the Gut Microbiome of Atlantic Salmon Under Hypoxic and Normoxic Conditions by D. Huyben et. al

 

  • 20.11.23 – Numerical Algorithms course pt. 2
  • 13.11.23 – Numerical Algorithms course pt. 1
  • 6.11.23 – Deep Learning course pt. 2
  • 30.10.23 – Deep Learning course pt. 1
  • 23.10.23 – Daniel S. Gianola – Inferring breeding value or genetic score from incomplete pedigree, genomic and phenotypic information
  • 16.10.23 – Tomasz Suchocki -A second-level diagonal preconditioner for single-step SNPBLUP
  • 9.10.23 – Tomasz Suchocki – Computational strategies for the preconditioned conjugate gradient method applied to ssSNPBLUP, with an application to a multivariate maternal model
  • 02.10.23 – Magda Mielczarek – The effect of transcriptomic annotations in breast cancer differential gene expression study
  • 25.09.23 – Marek Sztuka – Predicting sow postures from video images: Comparison of convolutional neural networks and segmentation combined with support vector machines under various training and testing setups
  • 18.09.23 – Joanna Szyda – Supervised Rank aggregation (SRA): A novel rank aggregation approach for ensemble-based feature selection (paper, presentation)
  • 11.09.23 – Yangqing Den – A Bayesian Approach for Two-Stage Multivariate Mendelian Randomization with Mixed Outcomes

Summer semester 2🌞22/2🌞23

Seminar schedule:

  • 26.06.23:
    • Bartosz Czech – The final PhD results of the analysis of multi-omics data of Holstein cattle under heat stress condition.
    • Marek Sztuka – Hybrid genome de novo assembly of the nanopore and the Illumina data
    • Jakub Liu – Comparing execution times of common interpreted and compiled programming languages
  • 19.06.23 – Joanna Szyda – Sharma et al. (2020) TaxoNN: ensemble of neural networks on stratified microbiome data for disease prediction
  • 12.06.23 – Kristaps Kļaviņš – From sample preparation to LC-MS to data in metabolomics: the devil is in the details
  • 05.06.23 – Dawid Słomian – Methylome and metagenome sequencing
  • 29.05.23 – Michalina Jakimowicz – Comparison of MIXBLUP and BLUPF90
  • 22.05.23 – Marek Sztuka – Final next flow runs comparison results
  • 15.05.23 – Piotr Hajduk – Final analysis of covariances between expression in normal and heat-stressed rats
  • 08.05.23 – Joanna Szyda – Parallelisation with MPI – a monkey perspective
  • 24.04.23 – Dawid Słomian – Choose your model wisely – the comparison of genomically enhanced breeding values predicted by different single-step models
  • 17.04.23 – Jakub Liu – BGData – an R package for the analysis of big genomic data
  • 10.04.23 – Easter!
  • 03.04.23 – Piotr Hajduk – Convolutional neural networks in medical image understanding: a survey
  • 27.03.23 – Bartosz Czech – Heat stress and immune response phenotype affect DNA methylation in blood mononuclear cells from Holstein dairy cows
  • 20.03.23 – Bartosz Czech – Effects of heat stress on 16S rDNA, metagenome and metabolome in Holstein cows at different growth stages
  • 13.03.23 – Jakub Liu – SNP distribution amongst exons and introns in humans
  • 06.03.2023 – Piotr Hajduk – Worldwide Genetic Analysis of the CFTR Region

You can check out what we talked about in the last semester here.