Datasets:
row_id string | series_id string | timepoint_h int64 | organism string | strain_id string | efflux_system string | efflux_expression_rel string | drug_name string | mic_drug_mg_L string | media string | assay_method string | source_type string | efflux_cascade_signal int64 | earliest_efflux_cascade string | notes string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ABXRM003-TR-0001 | S1 | 0 | Pseudomonas aeruginosa | PA-CLIN101 | mexAB-oprM | 1.0 | levofloxacin | 0.50 | CAMHB | rtqpcr_efflux | simulated | 0 | 0 | baseline |
ABXRM003-TR-0002 | S1 | 12 | Pseudomonas aeruginosa | PA-CLIN101 | mexAB-oprM | 1.6 | levofloxacin | 0.50 | CAMHB | rtqpcr_efflux | simulated | 0 | 0 | step 1 |
ABXRM003-TR-0003 | S1 | 24 | Pseudomonas aeruginosa | PA-CLIN101 | mexAB-oprM | 2.6 | levofloxacin | 0.50 | CAMHB | rtqpcr_efflux | simulated | 1 | 1 | cascade confirmed before MIC |
ABXRM003-TR-0004 | S1 | 48 | Pseudomonas aeruginosa | PA-CLIN101 | mexAB-oprM | 3.0 | levofloxacin | 2.00 | CAMHB | rtqpcr_efflux | simulated | 1 | 0 | MIC rises later |
ABXRM003-TR-0005 | S2 | 0 | Escherichia coli | EC-CLIN220 | acrAB-tolC | ciprofloxacin | 0.25 | CAMHB | rtqpcr_efflux | simulated | 0 | 0 | baseline | null |
ABXRM003-TR-0006 | S2 | 12 | Escherichia coli | EC-CLIN220 | acrAB-tolC | 1.2 | ciprofloxacin | 0.25 | CAMHB | rtqpcr_efflux | simulated | 0 | 0 | small change |
ABXRM003-TR-0007 | S2 | 24 | Escherichia coli | EC-CLIN220 | acrAB-tolC | 1.3 | ciprofloxacin | 0.25 | CAMHB | rtqpcr_efflux | simulated | 0 | 0 | no cascade |
ABXRM003-TR-0008 | S3 | 0 | Klebsiella pneumoniae | KP-CLIN330 | oqxAB | 1.0 | chloramphenicol | 4.00 | CAMHB | rtqpcr_efflux | simulated | 0 | 0 | baseline |
ABXRM003-TR-0009 | S3 | 12 | Klebsiella pneumoniae | KP-CLIN330 | oqxAB | 16.0 | chloramphenicol | 4.00 | CAMHB | rtqpcr_efflux | simulated | 0 | 0 | spike candidate |
ABXRM003-TR-0010 | S3 | 24 | Klebsiella pneumoniae | KP-CLIN330 | oqxAB | 1.2 | chloramphenicol | 4.00 | CAMHB | rtqpcr_efflux | simulated | 0 | 0 | snapback artifact |
ABX-RM-003 Efflux Pump Activation Cascade
Purpose
Detect a coherent rise in efflux expression that occurs before MIC shifts.
Core pattern
- efflux_expression_rel rises across multiple timepoints
- mic_drug_mg_L stays near baseline during the rise
- mic_drug_mg_L rises later
Files
- data/train.csv
- data/test.csv
- scorer.py
Schema
Each row is one timepoint in a within strain series.
Required columns
- row_id
- series_id
- timepoint_h
- organism
- strain_id
- efflux_system
- efflux_expression_rel
- drug_name
- mic_drug_mg_L
- media
- assay_method
- source_type
- efflux_cascade_signal
- earliest_efflux_cascade
Labels
efflux_cascade_signal
- 1 for rows at or after the first confirmed cascade point
earliest_efflux_cascade
- 1 only for the first detected cascade row in that series
Scorer logic in v1
- baseline is timepoint 0
- cascade detection
- two consecutive expression increases
- each step at least 1.25x
- total at least 2.5x vs baseline
- MIC during the rise no more than 2x baseline
- exclude spike and snapback artifacts
- confirmation
- later MIC reaches at least 4x baseline
Evaluation
Run
- python scorer.py --path data/test.csv
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