Training materials
Scientific topics: Probabilistic graphical model
and Authors: Janick Mathys
and Include disabled: true
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Scientific topic
- Probabilistic graphical model
- Bayesian methods2
- Biostatistics2
- Descriptive statistics2
- Gaussian processes2
- Inferential statistics2
- Markov processes2
- Multivariate statistics2
- Probability2
- Statistics2
- Statistics and probability2
- Algorithms1
- Chromosome walking1
- Clone verification1
- Codon usage1
- Comparative transcriptomics1
- Computer programming1
- DNA chips1
- DNA microarrays1
- DNA-Seq1
- DNase-Seq1
- Data structures1
- Differential expression analysis1
- Differential gene analysis1
- Differential gene expression analysis1
- Differential gene expression profiling1
- Differentially expressed gene identification1
- Expression1
- Gene expression1
- Gene expression profiling1
- Gene transcription1
- Gene translation1
- High throughput sequencing1
- High-throughput sequencing1
- NGS1
- NGS data analysis1
- Next gen sequencing1
- Next generation sequencing1
- Panels1
- Primer walking1
- Programming languages1
- R1
- R program1
- R script1
- Sanger sequencing1
- Sequencing1
- Software development1
- Software engineering1
- Targeted next-generation sequencing panels1
- Transcription1
- Transcriptome1
- Transcriptomics1
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- ELIXIR Brazil2
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- statistics2
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- Beginner2
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- biologists2
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Author
- Janick Mathys
- Anup Kumar9
- Kaivan Kamali7
- Alireza Khanteymoori4
- Daniel Blankenberg2
- Fabio Cumbo2
- Simon Bray2
- Anne Segonds-Pichon1
- András Aszódi1
- Bérénice Batut1
- Dennis Lal group1
- Ekaterina Polkh1
- Fotis E. Psomopoulos1
- Fotis Psomopoulos1
- Marie Gramm1
- Marzia A Cremona1
- Vijay1
- Vincent Noel1
- Wolfgang Huber1
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