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edge-rs 0.3.2
Negative binomial differential expression for bulk and single-cell RNA-seq: the edgeR numerical stack and NEBULA mixed models.
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bobyqa_chain3.csv
bobyqa_corner.csv
bobyqa_rescue.csv
bobyqa_rosen.csv
bobyqa_rosen_edge.csv
bobyqa_roundoff.csv
fac_avelogcpm.csv
fac_contrasts.csv
fac_contrasts_cov.csv
fac_contrasts_fit.csv
fac_counts.csv
fac_cpm.csv
fac_design.csv
fac_design_grp.csv
fac_disp.csv
fac_ebayes.csv
fac_ebayes_contrasts.csv
fac_ebayes_contrasts_f.csv
fac_ebayes_f.csv
fac_ebayes_robust.csv
fac_ebayes_trend.csv
fac_exact.csv
fac_filter.csv
fac_glmfit.csv
fac_glmfitted.csv
fac_kept_counts.csv
fac_kept_samples.csv
fac_limma_trend_ebayes.csv
fac_limma_trend_ebayes_f.csv
fac_limma_trend_ebayes_robust.csv
fac_limma_trend_lmfit.csv
fac_logcpm.csv
fac_lrt.csv
fac_lrt_contrast.csv
fac_norm.csv
fac_ql.csv
fac_samples.csv
fac_toptable_B.csv
fac_toptable_confint.csv
fac_toptable_confint_filtered.csv
fac_toptable_f.csv
fac_toptable_filtered.csv
fac_toptable_logFC.csv
fac_toptable_none.csv
fac_toptable_P.csv
fac_toptags_logFC.csv
fac_toptags_none.csv
fac_toptags_PValue.csv
fac_treat.csv
fac_trend_extra.csv
fac_voom_e.csv
fac_voom_fitted.csv
fac_voom_lmfit.csv
fac_voom_squeeze.csv
fac_voom_trend.csv
fac_voom_weights.csv
pois_avelogcpm.csv
pois_counts.csv
pois_cpm.csv
pois_design.csv
pois_design_grp.csv
pois_disp.csv
pois_exact.csv
pois_filter.csv
pois_glmfit.csv
pois_glmfitted.csv
pois_kept_counts.csv
pois_kept_samples.csv
pois_logcpm.csv
pois_lrt.csv
pois_norm.csv
pois_ql.csv
pois_ql_legacy.csv
pois_samples.csv
pois_toptags_logFC.csv
pois_toptags_none.csv
pois_toptags_PValue.csv
sc_blocks_counts.csv
sc_blocks_covariance.csv
sc_blocks_design.csv
sc_blocks_meta.csv
sc_blocks_nebula.csv
sc_cat_hl_counts.csv
sc_cat_hl_covariance.csv
sc_cat_hl_design.csv
sc_cat_hl_meta.csv
sc_cat_hl_nebula.csv
sc_cat_ln_counts.csv
sc_cat_ln_covariance.csv
sc_cat_ln_design.csv
sc_cat_ln_meta.csv
sc_cat_ln_nebula.csv
sc_cat_sparse_counts.csv
sc_cat_sparse_covariance.csv
sc_cat_sparse_design.csv
sc_cat_sparse_meta.csv
sc_cat_sparse_nebula.csv
sc_counts.csv
sc_covariance.csv
sc_high_counts.csv
sc_high_covariance.csv
sc_high_design.csv
sc_high_meta.csv
sc_high_nebula.csv
sc_intercept_counts.csv
sc_intercept_covariance.csv
sc_intercept_design.csv
sc_intercept_meta.csv
sc_intercept_nebula.csv
sc_k2_counts.csv
sc_k2_covariance.csv
sc_k2_design.csv
sc_k2_meta.csv
sc_k2_nebula.csv
sc_meta.csv
sc_nebula.csv
sc_shrink.csv
sc_small_counts.csv
sc_small_covariance.csv
sc_small_meta.csv
sc_small_nebula.csv
sc_wide_counts.csv
sc_wide_covariance.csv
sc_wide_design.csv
sc_wide_meta.csv
sc_wide_nebula.csv
scalars.csv
unbal_avelogcpm.csv
unbal_contrasts.csv
unbal_contrasts_cov.csv
unbal_contrasts_fit.csv
unbal_counts.csv
unbal_cpm.csv
unbal_design.csv
unbal_design_grp.csv
unbal_disp.csv
unbal_ebayes.csv
unbal_ebayes_contrasts.csv
unbal_ebayes_contrasts_f.csv
unbal_ebayes_f.csv
unbal_ebayes_robust.csv
unbal_ebayes_trend.csv
unbal_exact.csv
unbal_filter.csv
unbal_glmfit.csv
unbal_glmfitted.csv
unbal_kept_counts.csv
unbal_kept_samples.csv
unbal_limma_trend_ebayes.csv
unbal_limma_trend_ebayes_f.csv
unbal_limma_trend_ebayes_robust.csv
unbal_limma_trend_lmfit.csv
unbal_logcpm.csv
unbal_lrt.csv
unbal_norm.csv
unbal_ql.csv
unbal_samples.csv
unbal_toptable_B.csv
unbal_toptable_confint.csv
unbal_toptable_confint_filtered.csv
unbal_toptable_f.csv
unbal_toptable_filtered.csv
unbal_toptable_logFC.csv
unbal_toptable_none.csv
unbal_toptable_P.csv
unbal_toptags_logFC.csv
unbal_toptags_none.csv
unbal_toptags_PValue.csv
unbal_voom_e.csv
unbal_voom_fitted.csv
unbal_voom_lmfit.csv
unbal_voom_squeeze.csv
unbal_voom_trend.csv
unbal_voom_weights.csv
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Int,grpB,batb2 0,1,0 0,1,-0.5