Training materials
Scientific topics: Quantitative proteomics
and Authors: Computational Biology and Bioinformatics at UCLouvain
and Licence: License Not Specified
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Scientific topic
- Quantitative proteomics
- Bottom-up proteomics2
- Discovery proteomics2
- MS-based targeted proteomics2
- MS-based untargeted proteomics2
- Metaproteomics2
- Peptide identification2
- Protein and peptide identification2
- Proteomics2
- Targeted proteomics2
- Top-down proteomics2
- Active learning1
- Bayesian methods1
- Biostatistics1
- Chromosome walking1
- Clone verification1
- Comparative transcriptomics1
- DNA-Seq1
- DNase-Seq1
- Descriptive statistics1
- Ensembl learning1
- Gaussian processes1
- High throughput sequencing1
- High-throughput sequencing1
- Inferential statistics1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Markov processes1
- MicroRNA sequencing1
- Multivariate statistics1
- NGS1
- NGS data analysis1
- Neural networks1
- Next gen sequencing1
- Next generation sequencing1
- Panels1
- Primer walking1
- Probabilistic graphical model1
- Probability1
- R1
- R program1
- R script1
- RNA sequencing1
- RNA-Seq1
- RNA-Seq analysis1
- Recommender system1
- Reinforcement learning1
- Sanger sequencing1
- Sequencing1
- Small RNA sequencing1
- Small RNA-Seq1
- Small-Seq1
- Statistics1
- Statistics and probability1
- Supervised learning1
- Targeted next-generation sequencing panels1
- Transcriptome1
- Transcriptome profiling1
- Transcriptomics1
- Unsupervised learning1
- WTSS1
- Whole transcriptome shotgun sequencing1
- miRNA-seq1
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- Glittr.org2
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- Not specified2
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Author
- Computational Biology and Bioinformatics at UCLouvain
- Instituto Gulbenkian de Ciência2
- The Gulbenkian Training Programme in Bioinformatics2
- Espen Åberg1
- Federico Bianchini1
- Health Data Science Sandbox1
- Illimar Rekand1
- Karl R. Clauser1
- Korbinian Bösl1
- Matrix Science Ltd1
- Monica Schenone1
- Nazeefa Fatima1
- Steve Carr1
- statOmics1
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