Language: | Slovenian |
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Year of publishing: | 2020 |
Typology: | 2.11 - Undergraduate Thesis |
Organization: | UL FRI - Faculty of Computer and Information Science |
Publisher: | [T. Štrus] |
UDC: | 004.8:575.113(043.2) |
COBISS: | 31496963 |
Views: | 883 |
Downloads: | 125 |
Average score: | 0 (0 votes) |
Metadata: |
Secondary language: | English |
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Secondary title: | Predicting face shape from genome sequence |
Secondary abstract: | In the thesis, we show how to transform a genome sequence with known SNP variations into a morphological human face model. The thesis describes the preparation of the data set and the face phenotyping transformation using the Meshmonk program. We show results for different models and their parameter improvements. |
Secondary keywords: | genome;face shape prediction;machine learning;computer science;computer and information science;diploma thesis; |
Type (COBISS): | Bachelor thesis/paper |
Study programme: | 1000470 |
Embargo end date (OpenAIRE): | 1970-01-01 |
Thesis comment: | Univ. v Ljubljani, Fak. za računalništvo in informatiko |
Pages: | 38 str. |
ID: | 12037038 |