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README.md

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@@ -137,7 +137,7 @@ There are following columns in the resulting tsv files
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| anchor | anchor | |
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| pval_opt | p-value from alternating maximization | number of iterations and other parameters can be configured with switches. Optimization formulation and statistical exposition in (Baharav et al. 2023). |
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| effect_size_bin | measure of anchor's effect size | bounded between [0,1], indicates how well the data is divided between 2 groups of columns. 0 indicates no different between groups, 1 indicates two groups of columns with disjoint row supports (Baharav et al. 2023). |
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| pval_asymp_base | asymptotically valid p-value based on alternating maximization | compute optimizing c and f used for pval_opt, and evaluate approximate p-value given by asymptotic normality (Baharav et al. 2023). |
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| pval_asymp_opt | asymptotically valid p-value based on alternating maximization | compute optimizing c and f used for pval_opt, and evaluate approximate p-value given by asymptotic normality (Baharav et al. 2023). |
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| pval_base | p-value based on random partitionings | Compute base p-value (using num_rand_cf random c,f), Bonferroni correction to yield valid p-value. |
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| M | anchor count | number of anchor occurences in the input (= the sum of elements in contingency table) |
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| anch_uniqTargs | number of unique targets for anchor | (=number of rows in contingency table) |

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