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(Created page with "The list is arranged approximately from lowest to highest difficulty. # Text mining MEDLINE abstracts # K-means clustering # Data mining in NCBI databases # Searching for motifs in sequences # Data analysis # Resistance to antibiotics # k-nearest neighbor (k-NN) continuous variable estimation # Read trimmer for Next-Generation-Sequencing data # QT clustering # Pairwise alignment # Artificial Neural Network <!-- removed projects...") |
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Remember to [https://teaching.healthtech.dtu.dk/22113/index.php/Aligning_expectations#Projects,_general_information read about projects here]. | |||
The list is arranged approximately from lowest to highest difficulty. | The list is arranged approximately from lowest to highest difficulty. | ||
# [[Text mining MEDLINE abstracts]] | # [[Text mining MEDLINE abstracts]] |
Latest revision as of 14:42, 4 April 2024
Remember to read about projects here.
The list is arranged approximately from lowest to highest difficulty.
- Text mining MEDLINE abstracts
- K-means clustering
- Data mining in NCBI databases
- Searching for motifs in sequences
- Data analysis
- Resistance to antibiotics
- k-nearest neighbor (k-NN) continuous variable estimation
- Read trimmer for Next-Generation-Sequencing data
- QT clustering
- Pairwise alignment
- Artificial Neural Network