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BixBench item

bix-27-q5

Question

After performing principal component analysis (PCA) with 100 components on the log10-transformed gene expression matrix (with pseudocount of 1, samples as rows and genes as columns), what percentage of the total variance in the dataset is explained by the first principal component (reported as a percentage between 0 and 100)?

Ideal answer
(55,56)
Category
RNA-seq,Transcriptomics,Machine Learning and Artificial Intelligence

Galaxy-API code with skills

3/3 pass

Galaxy-API code without skills

0/3 pass

replicate 3

fail
Answer56.471730%
Workflow
table computedatamash transposesklearn pcaSummary Statistics1 plus 3 more

Open-ended code with skills

3/3 pass

replicate 1

pass
Answer55.6043437095388%
Workflow
local codeverification note
No Galaxy historyHugging Face trace

replicate 2

pass
Answer55.6043437095%
Workflow
local codeverification note
No Galaxy historyHugging Face trace

replicate 3

pass
Answer55.6043437095%
Workflow
local codeverification note
No Galaxy historyHugging Face trace

Open-ended code without skills

0/3 pass

replicate 1

fail
Answer56.4717047395749%
Workflow
local codeverification note
No Galaxy historyHugging Face trace

replicate 2

fail
Answer56.4717047396%
Workflow
local codeverification note
No Galaxy historyHugging Face trace

replicate 3

fail
Answer56.4717047395748%
Workflow
local codescikit-learn
No Galaxy historyHugging Face trace