Essays about: "Gene networks"
Showing result 6 - 10 of 52 essays containing the words Gene networks.
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6. Predicting Biomarkers/ Candidate Genes involved in iALL, using Rough Sets based Interpretable Machine Learning Model.
University essay from Uppsala universitet/Institutionen för biologisk grundutbildningAbstract : Acute lymphoblastic leukemia is a hematological malignancy that gains a proliferative advantage and originates in the bone marrow. One of the more common genetic alterations in ALL is KMT2A-rearrangement which constitutes 80% of the cases of ALL in infants. READ MORE
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7. Capturing genes with high impact based on reconstruction errors produced by variational autoencoders
University essay from Högskolan i Skövde/Institutionen för biovetenskapAbstract : 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. READ MORE
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8. Messing With The Gap: On The Modality Gap Phenomenon In Multimodal Contrastive Representation Learning
University essay from Uppsala universitet/Industriell teknikAbstract : In machine learning, a sub-field of computer science, a two-tower architecture model is a specialised type of neural network model that encodes paired data from different modalities (like text and images, sound and video, or proteomics and gene expression profiles) into a shared latent representation space. However, when training these models using a specific contrastive loss function, known as the multimodalinfoNCE loss, seems to often lead to a unique geometric phenomenon known as the modality gap. READ MORE
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9. Influence of Preprocessing Steps for Molecular Data on Deep Neural Network Performance
University essay from Högskolan i Skövde/Institutionen för biovetenskapAbstract : The massive accumulation of omics data requires effective computational tools to analyze and interpret such data. Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI), has shed light on these challengings and achieved great success in bioinformatics. READ MORE
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10. EFFECT OF ENDOCRINE DISRUPTING MIXTURES AND CHEMICALS ON THE OXYGEN CONSUMPTION RATE OF ZEBRAFISH LARVAE
University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskapAbstract : Chemicals affecting the endocrine system, so called endocrine disrupting chemicals (EDC’s), have been steadily increasing in the environment over the last 40 years. EDCs are harmful chemicals since they can act through multiple endocrine pathways, contain a wide spectrum of health effects that can be very persistent and can cause effects already at a low doses. READ MORE