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# HPA_SingleCellClassification_Analysis
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Analysis for Kaggle Human Protein Atlas Single Cell Classification challenge
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This repo is for analysis of the [HPA Single Cell Classification](https://www.kaggle.com/c/hpa-single-cell-image-classification) results. This includes Average Precision scores for each class and Jaccard index (IOU) of each submission at per cell level.
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This repo is for analysis of the [HPA Single Cell Classification](https://www.kaggle.com/c/hpa-single-cell-image-classification) results.
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This includes
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* Average Precision scores for each class and Jaccard index (IOU) of each submission at per cell level in `class_scoring` and `segmentation_matching`. This is scored using Tensorflow Object Detection API under Apache license. Specifically, scoring is done with [oid_hpasc_challenge_evaluation.py](models/research/object_detection/metrics/oid_hpasc_challenge_evaluation.py) and [oid_hpasc_challenge_evaluation_test.py](models/research/object_detection/metrics/oid_hpasc_challenge_evaluation_test.py) for testing.
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* Analysis scripts as described in the manuscript in `analysis`
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* Winner solution (`team1_bestfitting`) including model and analysis code provided by Shubin Dai (bestfitting) and modified by Trang Le for analysis and prediction.
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* `plot` contains plotting this competition's metadata obtained from [Meta Kaggle](https://www.kaggle.com/kaggle/meta-kaggle).

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