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Copy file name to clipboardExpand all lines: NEWS.md
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## Major Changes
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-updated the MTL model after fixing the issue below
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-fixed issue in `MCR_table`. The coordinates were converted to hg19 (from hg18)
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-Updated the MTL model after fixing the issue below
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-Fixed issue in `MCR_table`. The coordinates were converted to hg19 (from hg18)
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## Minor changes and bug fixes
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-made use of `caret::predict.train` explicit
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-Made use of `caret::predict.train` explicit
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- Removed 'Homo.sapiens' from Imports field (not used)
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## Major Changes
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-fixed an issue in `create_SCNA_score_df()` where the SCNA score was not calculated because the column name for "MCR_overlap_percent" was incorrectly assigned as "transcript_overlap_percent"
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-updated the MTL classification model `TCGA_MTL_fit` and `specific_thresholds` after fixing the issue above
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-Fixed an issue in `create_SCNA_score_df()` where the SCNA score was not calculated because the column name for "MCR_overlap_percent" was incorrectly assigned as "transcript_overlap_percent"
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-Updated the MTL classification model `TCGA_MTL_fit` and `specific_thresholds` after fixing the issue above
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## Minor changes and bug fixes
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- Updated citation information, correcting author name
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- Minor changes in utility functions
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-added the `na.string` argument to `create_noncoding_impact_score_df()`, `predict_coding_impact()` and `create_features_df()` as the string that was used to indicate when a score is not available during annotation with ANNOVAR (default = ".")
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-generalized`determine_hotspot_genes()` to able to use occurrence annotations from different versions of COSMIC
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-updated all data
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-Added the `na.string` argument to `create_noncoding_impact_score_df()`, `predict_coding_impact()` and `create_features_df()` as the string that was used to indicate when a score is not available during annotation with ANNOVAR (default = ".")
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-Generalized`determine_hotspot_genes()` to able to use occurrence annotations from different versions of COSMIC
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