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Showing result 1 - 5 of 7 essays matching the above criteria.

  1. 1. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction

    University essay from Uppsala universitet/Nationellt resurscentrum för biologi och bioteknik

    Author : Erik Everett Palm; [2023]
    Keywords : bioinformatics; deep learning; machine learning; joint model; tabular data; image data;

    Abstract : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. READ MORE

  3. 2. PAMPaR: Parallel Analysis of miRNAs, Proteins and RNAs. Dynamic Profiles of miRNAs, mRNAs and Specific Proteins in Mouse Embryonic Stem Cells Differentiating into Neural Precursors

    University essay from KTH/Proteinvetenskap

    Author : Amelie Carlström; [2023]
    Keywords : PAMPaR; SPARC; Proximity extension assay; Neuronal differentiation; Mouse embryonic stem cells; PAMPaR; SPARC; Proximity extension assay; Neuronal differentiering; embryonala musstamceller;

    Abstract : MikroRNA-molekyler (miRNA) är viktiga icke-kodande RNA-molekyler för post-transkriptionell reglering av proteinkodande gener. De har även effekter på många cellulära processer såsom differentiering. De biosyntetiska reaktioner som skapar miRNA involverar proteiner som själva regleras av miRNA. READ MORE

  4. 3. System level analysis of Immune system in children with solid tumors

    University essay from Uppsala universitet/Institutionen för biologisk grundutbildning; Uppsala universitet/Science for Life Laboratory, SciLifeLab

    Author : Nadia Hassan Shamas; [2022]
    Keywords : Immune system in Children; Cancer; Medicines;

    Abstract : Over the last few years, significant immune system changes have been observed in tumor patients exposed to different treatments. Moreover, evaluation and prediction of the responses of treatments given to these patients can become a key component. READ MORE

  5. 4. Systems biology of deregulated splicing in cancer. A pan-cancer analysis of dysfunctional splicing machinery and alternative splicing events.

    University essay from

    Author : Leticia Castillon; [2021-08-06T14:57:24Z 2021-08-06T14:57:24Z 2021 2020]
    Keywords : multi-omics; splicing; alternative splicing; deep learning; cancer; transcriptome;

    Abstract : The deregulation or disruption of the splicing process has been shown to play a role in the onset, development, and even response to treatment of some malignancies. Partly due to our incomplete understanding of the mechanism and regulation behind splicing and alternative splicing, the importance of aberrant splicing in oncogenesis is not yet understood. READ MORE

  6. 5. Transparent Machine Learning for Multi-Omics Analysis of Mental Disorders

    University essay from Uppsala universitet/Institutionen för biologisk grundutbildning

    Author : Stella Belin; [2020]
    Keywords : machine learning; multi-omics; mental disorders;

    Abstract : Schizophrenia and bipolar disorder are two severe mental disorders that affect more than 65 million individuals worldwide. The aim of thisproject was to find co-prediction mechanisms for genes associated with schizophrenia and bipolar disorder using a multi-omics data set and a transparent machine learning approach. READ MORE