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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