~/talk

Spatial Gene Expression Patterns in Drosophila

Talkat Network Biology 2016 · 2016-04-11..04-15· [data-science]
name:Bin Yu
links:none on file
slides:none on file

A reproducible pipeline decomposes spatial Drosophila embryo expression (about 1 TB, 405 genes sampled into 405 superpixels) with stability-driven non-negative matrix factorization, running on Spark and Fiji across three teams. The method repeatedly initializes NMF, measures pattern agreement, and selects a stable model that yields 21 principal patterns that map to known fate-map regions, recover canonical gap-gene repression, and guide local covariance networks; preliminary knockdown experiments show morphological effects but full perturbation validation is still in progress.

AI-written summary · about

  1. 0:00Research background
  2. 1:31Project overview
  3. 3:29Biological context
  4. 6:36Spatial gene networks
  5. 9:14Methodological framework
  6. 12:10Stability and constraints
  7. 16:02Optimization and validation
  8. 22:11Gene functional analysis
  9. 25:03Experimental results
  10. 27:35Discussion and comparison
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