diff --git a/analysis/files/README.md b/analysis/files/README.md
index 5bb72d5d3c052898708e91df767056c160ff04af..02675351b4ce59f813edc18f8cdd03933d6fc310 100644
--- a/analysis/files/README.md
+++ b/analysis/files/README.md
@@ -2,17 +2,17 @@ This directory includes the intermediate files used during the analysis:
 
 | NAME                  | DESCRIPTION                                                                                     |
 |-----------------------|-------------------------------------------------------------------------------------------------|
-| [Datos_Gppi.csv](https://medal.ctb.upm.es/internal/gitlab/disnet/network-medicine/network-medicine-for-schizophrenia/blob/master/analysis/files/Datos_Gppi.csv)  | Protein ID, degree and Average Shortest Path Lenght of each node in the interactome  |
+| [Datos_Gppi.csv](https://medal.ctb.upm.es/internal/gitlab/disnet/network-medicine/network-medicine-for-schizophrenia/blob/master/analysis/files/Datos_Gppi.csv)  | Protein ID, degree, and Average Shortest Path Length of each node in the interactome  |
 | [Microarray_SCZ_metaanalysis_092017.csv](https://medal.ctb.upm.es/internal/gitlab/disnet/network-medicine/network-medicine-for-schizophrenia/blob/master/analysis/files/Microarray_SCZ_metaanalysis_092017.csv) | Results for the meta-analysis on the differential expression of genes in patients with schizophrenia, obtained from the supplementary material of the study of [Gandal et al. (2018)](https://www.science.org/doi/10.1126/science.aad6469)    |
-| [ Module_signif.csv](https://medal.ctb.upm.es/internal/gitlab/disnet/network-medicine/network-medicine-for-schizophrenia/blob/master/analysis/files/Module_signif.csv) | Number of seed genes, genes in interactome, genes in lcc and results of the statistical validation of the disease module for the pathologies with a significant disease module size |
-| [dge_sorted.csv](https://medal.ctb.upm.es/internal/gitlab/disnet/network-medicine/network-medicine-for-schizophrenia/blob/master/analysis/files/dge_sorted.csv)    | Genes with significantly higher or lower expression in schizophrenia patients after filtering [Microarray_SCZ_metaanalysis_092017.csv](https://medal.ctb.upm.es/internal/gitlab/disnet/network-medicine/network-medicine-for-schizophrenia/blob/ master/analysis/files/Microarray_SCZ_metaanalysis_092017.csv) file. Sorted by logFC (in absolute value) |
-| [ drug_categories.csv ](https://medal.ctb.upm.es/internal/gitlab/disnet/network-medicine/network-medicine-for-schizophrenia/blob/master/analysis/files/drug_categories.csv) | Drug ID and its classification classified regarding the MeSH-pharmacological action (PA) therapeutic uses or its mechanism of action (MOA) |
-| [ gandal_2018a_kMEs.csv](https://medal.ctb.upm.es/internal/gitlab/disnet/network-medicine/network-medicine-for-schizophrenia/blob/master/analysis/files/gandal_2018a_kMEs.csv) | Results of the co-expression module membership for each gene in PNDs, obtained from the supplementary material of the study of .[Lüscher et al. (2020)](https://www.nature.com/articles/s41398-020-0827-5). |
+| [Module_signif.csv](https://medal.ctb.upm.es/internal/gitlab/disnet/network-medicine/network-medicine-for-schizophrenia/blob/master/analysis/files/Module_signif.csv) | Number of seed genes, genes in the interactome, genes in LCC, and results of the statistical validation of the disease module for the pathologies with a significant disease module size |
+| [dge_sorted.csv](https://medal.ctb.upm.es/internal/gitlab/disnet/network-medicine/network-medicine-for-schizophrenia/blob/master/analysis/files/dge_sorted.csv)    | Genes with significantly higher or lower expression in schizophrenia patients after filtering [Microarray_SCZ_metaanalysis_092017.csv](https://medal.ctb.upm.es/internal/gitlab/disnet/network-medicine/network-medicine-for-schizophrenia/blob/master/analysis/files/Microarray_SCZ_metaanalysis_092017.csv). Sorted by logFC (in absolute value) |
+| [drug_categories.csv](https://medal.ctb.upm.es/internal/gitlab/disnet/network-medicine/network-medicine-for-schizophrenia/blob/master/analysis/files/drug_categories.csv) | Drug ID and its classification regarding the MeSH-pharmacological action (PA) therapeutic uses or its mechanism of action (MOA) |
+| [gandal_2018a_kMEs.csv](https://medal.ctb.upm.es/internal/gitlab/disnet/network-medicine/network-medicine-for-schizophrenia/blob/master/analysis/files/gandal_2018a_kMEs.csv) | Results of the co-expression module membership for each gene in PNDs, obtained from the supplementary material of the study of [Lüscher et al. (2020)](https://www.nature.com/articles/s41398-020-0827-5) |
 
 Below are the intermediate files that have not been included in this directory due to their large size, as well as the link from which they can be obtained:
 
 | NAME                  | DESCRIPTION                                                    |   LINK      |
 |-----------------------|----------------------------------------------------------------|-------------|
-| [Closest distance.csv](https://drive.upm.es/s/lGXg33J3Rq0M0oa)  | Results for the calculation of the closest distance between each disease - drug pair | https://drive.upm.es/s/lGXg33J3Rq0M0oa |
-| [Closest_distance_rand.csv](https://drive.upm.es/s/aUK1BakJsRs6ckB) | Results for the mean and statistical deviation of the closest distance between each disease - drug pair, in comparison with 1,000 disease modules and sets of target proteins of each drug obtained randomly (degree preserving) | https://drive.upm.es/s/aUK1BakJsRs6ckB |
-| [SPL PPI.csv](https://drive.upm.es/s/1RhbweyNYLTcCxF) | Shortest Path Length between each pair of proteins in the interactome | https://drive.upm.es/s/1RhbweyNYLTcCxF |
\ No newline at end of file
+| [Closest distance.csv](https://drive.upm.es/s/lGXg33J3Rq0M0oa)  | Results for the calculation of the closest distance between each disease-drug pair | https://drive.upm.es/s/lGXg33J3Rq0M0oa |
+| [Closest_distance_rand.csv](https://drive.upm.es/s/aUK1BakJsRs6ckB) | Results for the mean and statistical deviation of the closest distance between each disease-drug pair, in comparison with 1,000 disease modules and sets of target proteins of each drug obtained randomly (degree preserving) | https://drive.upm.es/s/aUK1BakJsRs6ckB |
+| [SPL PPI.csv](https://drive.upm.es/s/1RhbweyNYLTcCxF) | Shortest Path Length between each pair of proteins in the interactome | https://drive.upm.es/s/1RhbweyNYLTcCxF |