분석 결정을 내리며 ENA를 배우세요.

초기화

33 개 수업

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모델링중급35 분2026년 7월 30일
ENA 아카데미 수업 13

Use Means Rotation for a Prespecified Two-Group Question

Use the shared synthetic design-talk dataset to practise deciding when the first ENA axis should align with the difference between exactly two prespecified group means, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

검토된 튜토리얼 본문은 현재 영어로 제공됩니다.

means rotationtwo-group contrastMR1
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모델링중급35 분2026년 7월 31일
ENA 아카데미 수업 14

Interpret SVD Dimensions and Co-registration

Use the shared synthetic design-talk dataset to practise understanding what SVD axes summarize and whether network node positions are aligned well enough with projected unit coordinates for interpretation, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

검토된 튜토리얼 본문은 현재 영어로 제공됩니다.

singular value decompositionco-registrationvariance explained
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모델링중급35 분2026년 8월 1일
ENA 아카데미 수업 15

Reproduce an ENA Model Across Implementations

Use the shared synthetic design-talk dataset to practise checking whether two ENA implementations produce equivalent accumulated connections, normalized vectors, projections, and interpretations under matched settings, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

검토된 튜토리얼 본문은 현재 영어로 제공됩니다.

cross-implementation parityrENAjENA
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연구 설계중급35 분2026년 8월 2일
ENA 아카데미 수업 16

Run Window and Segmentation Sensitivity as a Model Grid

Use the shared synthetic design-talk dataset to practise separating two coupled context decisions by evaluating a small prespecified grid of segmentation and moving-window alternatives, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

검토된 튜토리얼 본문은 현재 영어로 제공됩니다.

sensitivity gridsegmentationwindow size
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해석중급35 분2026년 8월 3일
ENA 아카데미 수업 17

Read ENA Subtraction Networks Without Overclaiming

Use the shared synthetic design-talk dataset to practise interpreting a difference graph as edge-wise subtraction between comparable networks in one shared analytic space, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

검토된 튜토리얼 본문은 현재 영어로 제공됩니다.

subtraction networkdifference graphshared node positions
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해석입문25 분2026년 8월 4일
ENA 아카데미 수업 18

Trace Every Interpreted Edge Back to Excerpts

Use the shared synthetic design-talk dataset to practise building a reproducible route from an interpreted network edge to the units, rows, and source excerpts that contributed to it, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

검토된 튜토리얼 본문은 현재 영어로 제공됩니다.

excerpt traceabilityedge provenanceinterpretive loop
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