Sökning: "Activity prediction"

Visar resultat 1 - 5 av 97 uppsatser innehållade orden Activity prediction.

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

   Master-uppsats, Uppsala universitet/Nationellt resurscentrum för biologi och bioteknik

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

   Sammanfattning : 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. LÄS MER

3. 2. Implementering av Skogliga Grunddata i hprGallring vid andragallring

   Kandidat-uppsats, SLU/School for Forest Management

   Författare :Felix Nilsson; Joakim Bengtsdahl; [2023]
   Nyckelord :gallring; uppföljning; laserskanning;

   Sammanfattning : Gallring är en av de skogsvårdsåtgärder som utförs i våra skogar för att bemöta de olika skogliga mål som skogsägarna har för sin skog. I Sveriges skogar så utförs gallringsåtgärder på ca 400 000 hektar årligen. LÄS MER

4. 3. The potential nitrous oxide emissions in a permanent grassland chronosequence

   Kandidat-uppsats, SLU/Dept. of Forest Mycology and Plant Pathology

   Författare :Sandra Lillsjö Kronblad; [2023]
   Nyckelord :nitrous oxide emission; permanent grasslands; denitrification; nitrous; reen house gas; agriculture;

   Sammanfattning : As a part of a larger project (Belowground biodiversity of grasslands – conservation needs and potential to promote sustainable agriculture), this study aims to investigate potential nitrous oxide (N2O) emissions and microbial gene abundances needed for the production (nirS and nirK) and reduction (nosZI and nosZII) of nitrous oxide in soil of permanent grasslands of various age. Thegrasslands have at different times been converted to permanent grasslands and are of interest because of the possibility to shed more light about the passage of time’s affects on the soil microbialcommunities and their activity. LÄS MER

5. 4. Detecting Metro Service Disruptions and Predicting their Spillover Effects throughout the Network using GTFS and Large-Scale Vehicle Location Data

   Master-uppsats, KTH/Transportplanering

   Författare :WeiZhi Michelle Teo; [2023]
   Nyckelord :;

   Sammanfattning : One of the top factors that influence commuters’ satisfaction level with public transport is the punctuality of the service. Commuters rely on public transport to get them from their origin to destination on time and any form of delay will incur additional cost to both the commuters as well as the public transport operators. LÄS MER

7. 5. Neural Network-Based Residential Water End-Use Disaggregation

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Cajsa Pierrou; [2023]
   Nyckelord :Residential water end-use; Flow disaggregation; Time series classification; Artificial neural network; Smart water meter; Slutanvändning av vatten i hushåll; Flödesdisaggregering; Tidsserieklassificering; Artificiella neurala nätverk; Smart vattenmätare;

   Sammanfattning : Sustainable management of finite resources is vital for ensuring livable conditions for both current and future generations. Measuring the total water consumption of residential households at high temporal resolutions and automatically disaggregating the sole signal into classified end usages (e.g. LÄS MER