ClarusC64/ABX-CT-005_resistance_suppression_failure-v0.1
ABX-CT-005 Resistance Suppression Failure Purpose Detect when a combination stops suppressing resistant subpopulations. Core pattern stress_index high combo_exposure_index high resistant_subpop_frac rises and keeps rising mono MICs stay below cutoffs at onset later_combo_failure_flag appears later in the series 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_a… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ABX-CT-005_resistance_suppression_failure-v0.1.
ABX-CT-005 Resistance Suppression Failure
Purpose
Detect when a combination stops suppressing resistant subpopulations.
Core pattern
- stress_index high
- comboexposureindex high
- resistantsubpopfrac rises and keeps rising
- mono MICs stay below cutoffs at onset
- latercombofailure_flag appears later in the series
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_a
- drug_b
- stress_index
- comboexposureindex
- resistantsubpopfrac
- resistantsubpopgrowth_rate
- monoAmicmg_L
- monoBmicmg_L
- monoAresistantcutoffmgL
- monoBresistantcutoffmgL
- latercombofailure_flag
- media
- assay_method
- source_type
- suppressionfailuresignal
- earliestsuppressionfailure
Labels
- suppressionfailuresignal
- 1 for rows at or after first detected suppression failure
- earliestsuppressionfailure
- 1 only for the first detected row in that series
Scorer logic in v1
- baseline resistantsubpopfrac must be low
- candidate failure point
- stress_index at least 0.80
- comboexposureindex at least 0.80
- resistantsubpopfrac at least 0.05
- resistantsubpopfrac increases again at next timepoint
- mono MICs below cutoffs at onset
- confirmation
- latercombofailure_flag equals 1 later in series
Evaluation
Run
- python scorer.py --path data/test.csv
