Hae
Aineistot 1-10 / 13
Machine learning applications for censored data
(Turun yliopisto, 2021-05-05)
The amount of data being gathered has increased tremendously as many aspects of our lives are becoming increasingly digital. Data alone is not useful, because the ultimate goal is to use the data to obtain new insights and ...
Data analysis tools for mass spectrometry proteomics
(Turun yliopisto, 2021-08-17)
ABSTRACT
Proteins are large biomolecules which consist of amino acid chains. They differ from one another in their amino acid sequences, which are mainly dictated by the nucleotide sequence of their corresponding genes. ...
Exploring the use of Twitter data to better understand church attendance
(Turun yliopisto, 2021-11-12)
Over recent years, the predominant narrative of UK churchgoing within the academic literature has been one of decline, underpinned by the secularisation thesis which posits that as society modernises, religious belief ...
Clinical risk modelling with machine learning: adverse outcomes of pregnancy
(Turun yliopisto, 2022-04-01)
As a complex biological process, there are various health issues that are related to pregnancy. Prenatal care, a type of preventative healthcare at different points in gestation is comprised of management, treatment, and ...
Optimizing text mining methods for improving biomedical natural language processing
(Turun yliopisto, 2022-02-04)
The overwhelming amount and the increasing rate of publication in the biomedical domain make it difficult for life sciences researchers to acquire and maintain all information that is necessary for their research. Pubmed ...
Enhanced label-free discovery proteomics through improved data analysis and knowledge enrichment
(Turun yliopisto, 2022-02-11)
Mass spectrometry (MS)-based proteomics has evolved into an important tool applied in fundamental biological research as well as biomedicine and medical research. The rapid developments of technology have required the ...
Computational analysis of human genomic variants and lncRNAs from sequence data
(Turun yliopisto, 2023-06-01)
The high-throughput sequencing technologies have been developed and applied to the human genome studies for nearly 20 years. These technologies have provided numerous research applications and have significantly expanded ...
Evaluation of the relevance and impact of kinase dysfunction in neurological disorders through proteomics and phosphoproteomics bioinformatics
(Turun yliopisto, 2023-09-28)
Phosphorylation is an important post-translational modification that is involved in various biological processes and its dysregulation has in particular been linked to diseases of the central nervous system including ...
An Algorithmic approach to shift structure optimization
(Turun yliopisto, 2023-03-10)
Workforce scheduling in organizations often consists of three major phases: workload prediction, shift generation, and staff rostering. Workload prediction involves using historical behaviour of e.g. customers to predict ...
Cell type identification, differential expression analysis and trajectory inference in single-cell transcriptomics
(Turun yliopisto, 2023-08-31)
Single-cell RNA-sequencing (scRNA-seq) is a cutting-edge technology that enables to quantify the transcriptome, the set of expressed RNA transcripts, of a group of cells at the single-cell level. It represents a significant ...