Sökning: "gene regulatory network inference"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden gene regulatory network inference.

1. 1. Autoencoder-Based Likelihood-Free Parameter Inference of Gene Regulatory Network

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Liang Cheng; [2023]
   Nyckelord :;

   Sammanfattning : Likelihood-free parameter inference is a well-known statistical methodology that estimates the posterior distribution of model parameters even in cases where the likelihood function is intractable. The performance of this method is highly correlated with the learning of summary statistics, which capture the key features from the high dimensional data such as time series. LÄS MER

3. 2. Inferring Gene regulatory networks using Graph Neural Networks

   Master-uppsats, KTH/Genteknologi

   Författare :Sohta Makino; [2023]
   Nyckelord :Graph Attention Network; Gene regulatory Network; Transcription; Data Science; Machine learning; Genreglering; transkription; dataanalys; Inferens; maskininlärning;

   Sammanfattning : Inom beräkningsbiologin är det snabbt på väg att bli allt vanligare att ta fram genetiska regleringsnätverk (GRN). På grund av storleken på de undersökta nätverken använder många forskare maskininlärning för att härleda GRN från genuttrycksdata, vanligtvis från RNA-seq. LÄS MER

4. 3. Capturing genes with high impact based on reconstruction errors produced by variational autoencoders

   Master-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

   Författare :Utz Lovis Rieger; [2023]
   Nyckelord :;

   Sammanfattning : In this work we present a novel method to extract potential hub genes, transcription factors and regions with densely interconnected protein-protein-interaction networks from RNAseq data. To achieve this we deploy variational autoencoders, a generative machine learning framework, and extract the gene-wise reconstruction errors. LÄS MER

5. 4. Imputing connections of random gene networks from time series data using ANNs

   Master-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Författare :Sofia Andersson; [2022]
   Nyckelord :artificial neural networks; ANNs; gene regulatory networks; GRNs; imputation; gene regulatory network imputation; GRN imputation; CNNs; convolutional neural network; randomly generated networks; ternary classification; binary classification; network inference; Physics and Astronomy;

   Sammanfattning : This thesis presents the architecture of a convolutional neural network which is trained to impute the connections of randomly generated gene regulatory networks under varying amounts of regularisation. The generated gene networks are simulated from 10 different starting conditions for each set of connections in order to obtain multiple time series. LÄS MER

7. 5. Robust Community Predictions of Hubs in Gene Regulatory Networks

   Master-uppsats, Linköpings universitet/Bioinformatik

   Författare :Julia Åkesson; [2018]
   Nyckelord :Biological systems; Biological networks; Network inference; Gene regulatory networks; Hubs; Master regulators; Community predictions; Bioinformatics;

   Sammanfattning : Many diseases, such as cardiovascular diseases, cancer and diabetes, originate from several malfunctions in biological systems. The human body is regulated by a wide range of biological systems, composed of biological entities interacting in complex networks, responsible for carrying out specific functions. LÄS MER