Dataset Viewer
Auto-converted to Parquet Duplicate
row_id
string
series_id
string
timepoint_h
int64
organism
string
strain_id
string
drug_name
string
persister_frac
float64
kill_log10
float64
exposure_index
float64
mic_drug_mg_L
float64
media
string
assay_method
string
source_type
string
persister_wave_signal
int64
earliest_persister_wave
int64
notes
string
ABXRM008-TR-0001
S1
0
Escherichia coli
EC-CLIN101
ciprofloxacin
0.01
0
0
0.25
CAMHB
persister_assay
simulated
0
0
baseline
ABXRM008-TR-0002
S1
6
Escherichia coli
EC-CLIN101
ciprofloxacin
0.02
1.8
1
0.25
CAMHB
persister_assay
simulated
0
0
kill rising
ABXRM008-TR-0003
S1
12
Escherichia coli
EC-CLIN101
ciprofloxacin
0.15
2
2
0.25
CAMHB
persister_assay
simulated
1
1
wave onset
ABXRM008-TR-0004
S1
24
Escherichia coli
EC-CLIN101
ciprofloxacin
0.18
2
3
0.25
CAMHB
persister_assay
simulated
1
0
plateau persists
ABXRM008-TR-0005
S2
0
Staphylococcus aureus
SA-CLIN220
vancomycin
0.01
0
0
1
CAMHB
persister_assay
simulated
0
0
baseline
ABXRM008-TR-0006
S2
12
Staphylococcus aureus
SA-CLIN220
vancomycin
0.02
1
1
1
CAMHB
persister_assay
simulated
0
0
no wave
ABXRM008-TR-0007
S2
24
Staphylococcus aureus
SA-CLIN220
vancomycin
0.03
1.6
2
1
CAMHB
persister_assay
simulated
0
0
kill continues
ABXRM008-TR-0008
S3
0
Pseudomonas aeruginosa
PA-CLIN330
tobramycin
0.01
0
0
1
CAMHB
persister_assay
simulated
0
0
baseline
ABXRM008-TR-0009
S3
6
Pseudomonas aeruginosa
PA-CLIN330
tobramycin
0.35
0.8
1
1
CAMHB
persister_assay
simulated
0
0
spike candidate
ABXRM008-TR-0010
S3
12
Pseudomonas aeruginosa
PA-CLIN330
tobramycin
0.02
1.7
2
1
CAMHB
persister_assay
simulated
0
0
snapback artifact

ABX-RM-008 Persister Cell Synchronization

Purpose

Detect coordinated rises in persister fraction that coincide with kill curve plateaus while MIC stays stable.

Core pattern

  • persister_frac crosses a wave threshold and stays elevated
  • kill_log10 gain collapses to a plateau
  • mic_drug_mg_L stays near baseline

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
  • drug_name
  • persister_frac
  • kill_log10
  • exposure_index
  • mic_drug_mg_L
  • media
  • assay_method
  • source_type
  • persister_wave_signal
  • earliest_persister_wave

Labels

  • persister_wave_signal

    • 1 for rows at or after the first detected wave onset
  • earliest_persister_wave

    • 1 only for the first detected wave row in that series

Scorer logic in v1

  • baseline is timepoint 0
  • candidate wave onset at time t when
    • persister_frac at least 0.12
    • persister_frac remains at least 0.12 at the next timepoint
    • kill_log10 gain vs previous timepoint at most 0.20
    • MIC during the wave window at most 2x baseline
    • exclude spike then snapback artifacts

Evaluation

Run

  • python scorer.py --path data/test.csv
Downloads last month
14