Essays about: "Cell Painting"

Showing result 1 - 5 of 10 essays containing the words Cell Painting.

  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. Phenotypic profiling and drug screening in Rhabdomyosarcoma cell lines

    University essay from Uppsala universitet/Institutionen för farmaceutisk biovetenskap

    Author : Laura Martina Lang; [2022]
    Keywords : Rhabdomyosarcoma; Phenotypic profiling; Phenotypic drug screening;

    Abstract : Rhabdomyosarcoma (RMS) is a type of soft tissue sarcoma that mainly occurs in children. RMS can be divided into two subtypes embryonal (ERMS) and alveolar (ARMS). The ARMS subtype can be especially aggressive when a balanced chromosomal translocation is present. READ MORE

  4. 3. Deep and Machine Learning on Imaging Flow Cytometry

    University essay from Uppsala universitet/Institutionen för farmaceutisk biovetenskap

    Author : Xinyi Dai; [2022]
    Keywords : Imaging flow cytometry; image-based analysis; machine learning;

    Abstract : Cell painting uses fluorescent agents to label the compositions or organelles of cells to evoke morphological profiling. Imaging flow cytometry (IFC) is a multi-channel imaging technique to acquire individual cell images, including the brightfield and multiple single fluorescence channels. READ MORE

  5. 4. Analyzing Cell Painting images using different CNNs and Conformal Prediction variations : Optimization of a Deep Learning model to predict the MoA of different drugs

    University essay from Uppsala universitet/Avdelningen för visuell information och interaktion

    Author : Anna Hillver; [2022]
    Keywords : Deep Learning; Machine Learning; Artificial Intelligence; AI; Convolutional Neural Networks; CNN; Cell Painting; Conformal Prediction; Image Analysis;

    Abstract : Microscopy imaging based techniques, such as the Cell Painting assay, could be used to generate images that visualize the Mechanism of Action (MoA) of a drug, which could be of great use in drug development. In order to extract information and predict the MoA of a new compound from these images we need powerful image analysis tools. READ MORE

  6. 5. Improving ligand-based modelling by combining various features

    University essay from Uppsala universitet/Institutionen för farmaceutisk biovetenskap

    Author : Abir Omran; [2021]
    Keywords : Machine learning; QSAR; Support Vector Machine; Morphological Profiles; Conformal Prediction;

    Abstract : Background: In drug discovery morphological profiles can be used to identify and establish a drug's biological activity or mechanism of action. Quantitative structure-activity relationship (QSAR) is an approach that uses the chemical structures to predict properties e.g., biological activity. READ MORE