Exploring 2022 Mcb 182 Lecture 6 Transcriptomics
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- Basic analysis goals of scRNA-seq, including clustering, trajectory inference and gene network inference.
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- Basic experimental design considerations of scRNA-seq, including dropout noise, batch effects
- Basic usage and concerns of scanning the genome for identifying TF binding, as well as a brief discussion of other applications of ...
- MCB 182
In-Depth Information on 2022 Mcb 182 Lecture 6 Transcriptomics
MCB 182 MCB 182 A discussion of the types of recurrent structure in gene networks (motifs), as well as global properties of gene networks (e.g. ... Introduction to primitive quantitative measures of node importance in gene networks: degree centrality (how many nodes that a ...
We introduce the concept of scoring schemes and what types of sequence differences are more evolutionarily frequent than ...
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