From 2cdbad047168d23cd4c7e83ef3d7cac0d582700b Mon Sep 17 00:00:00 2001
From: Ben Elsworth <be15516@bristol.ac.uk>
Date: Mon, 8 Jun 2020 16:04:32 +0100
Subject: [PATCH] updated readme

---
 README.md                |  8 ++++++++
 notebooks/analysis.ipynb | 41 +++++++++++++++++++++-------------------
 2 files changed, 30 insertions(+), 19 deletions(-)

diff --git a/README.md b/README.md
index a8cd564..9516b9d 100644
--- a/README.md
+++ b/README.md
@@ -134,3 +134,11 @@ real	0m2.150s
 user	0m0.036s
 sys	0m0.104s
 ```
+
+### Notes
+
+The call to PubMed is limited to 1 million articles. 
+
+```
+http://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi? {'db': 'pubmed', 'term': '', 'retmax': '1000000', 'rettype': 'uilist'}
+```
diff --git a/notebooks/analysis.ipynb b/notebooks/analysis.ipynb
index 28de09e..fe00296 100644
--- a/notebooks/analysis.ipynb
+++ b/notebooks/analysis.ipynb
@@ -785,7 +785,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 62,
    "metadata": {
     "tags": [
      "outputPrepend",
@@ -810,7 +810,7 @@
     {
      "output_type": "stream",
      "name": "stdout",
-     "text": "1980\n1981\n1982\n1983\n1984\n1985\n1986\n1987\n1988\n1989\n1990\n1991\n1992\n1993\n1994\n(1, 5)\n   type                name  counts  year  rel_counts\n0  gngm  Estrogen Receptors       1  1994       100.0\n1995\n(1, 5)\n   type                name  counts  year  rel_counts\n0  gngm  Estrogen Receptors       1  1995       100.0\n1996\n(1, 5)\n   type                name  counts  year  rel_counts\n0  gngm  Estrogen Receptors       1  1996       100.0\n1997\n(1, 5)\n   type                name  counts  year  rel_counts\n0  gngm  Estrogen Receptors       1  1997       100.0\n1998\n(1, 5)\n   type                name  counts  year  rel_counts\n0  gngm  Estrogen Receptors       1  1998       100.0\n1999\n(1, 5)\n   type                name  counts  year  rel_counts\n0  gngm  Estrogen Receptors       1  1999       100.0\n2000\n2001\n2002\n2003\n2004\n2005\n2006\n(1, 5)\n   type            name  counts  year  rel_counts\n0  gngm  EGR1 gene|EGR1       1  2006       100.0\n2007\n(1, 5)\n   type            name  counts  year  rel_counts\n0  gngm  EGR1 gene|EGR1       1  2007       100.0\n2008\n(2, 5)\n   type            name  counts  year  rel_counts\n0  gngm          FLVCR1       2  2008   66.666667\n1  gngm  EGR1 gene|EGR1       1  2008   33.333333\n2009\n(2, 5)\n   type            name  counts  year  rel_counts\n0  gngm  EGR1 gene|EGR1       2  2009        50.0\n1  gngm          FLVCR1       2  2009        50.0\n2010\n(3, 5)\n   type            name  counts  year  rel_counts\n0  gngm  KLK3 gene|KLK3       7  2010   63.636364\n1  gngm  EGR1 gene|EGR1       2  2010   18.181818\n2  gngm          FLVCR1       2  2010   18.181818\n2011\n(5, 5)\n   type            name  counts  year  rel_counts\n4  horm       Androgens      59  2011   67.816092\n0  gngm          FLVCR1      16  2011   18.390805\n1  gngm  KLK3 gene|KLK3       9  2011   10.344828\n2  gngm  EGR1 gene|EGR1       2  2011    2.298851\n3  gngm    ERG gene|ERG       1  2011    1.149425\n2012\n(4, 5)\n   type            name  counts  year  rel_counts\n0  gngm          FLVCR1      22  2012   64.705882\n1  gngm  KLK3 gene|KLK3       9  2012   26.470588\n2  gngm  EGR1 gene|EGR1       2  2012    5.882353\n3  gngm    ERG gene|ERG       1  2012    2.941176\n2013\n(5, 5)\n   type                         name  counts  year  rel_counts\n1  gngm                       FLVCR1      24  2013   64.864865\n2  gngm               KLK3 gene|KLK3       9  2013   24.324324\n3  gngm               EGR1 gene|EGR1       2  2013    5.405405\n0  aapp  Membrane Transport Proteins       1  2013    2.702703\n4  gngm                 ERG gene|ERG       1  2013    2.702703\n2014\n(6, 5)\n   type            name  counts  year  rel_counts\n1  gngm          FLVCR1      26  2014   44.067797\n5  horm    Testosterone      17  2014   28.813559\n2  gngm  KLK3 gene|KLK3      11  2014   18.644068\n3  gngm  EGR1 gene|EGR1       2  2014    3.389831\n4  gngm    ERG gene|ERG       2  2014    3.389831\n2015\n(9, 5)\n   type                  name  counts  year  rel_counts\n0  aapp  Androgen Receptor|AR     102  2015   48.571429\n4  gngm                FLVCR1      72  2015   34.285714\n8  horm          Testosterone      17  2015    8.095238\n5  gngm        KLK3 gene|KLK3      11  2015    5.238095\n6  gngm          ERG gene|ERG       3  2015    1.428571\n2016\n(13, 5)\n    type                  name  counts  year  rel_counts\n4   gngm                FLVCR1     168  2016   42.105263\n0   aapp  Androgen Receptor|AR     112  2016   28.070175\n11  horm             Androgens      68  2016   17.042607\n12  horm          Testosterone      17  2016    4.260652\n5   gngm        KLK3 gene|KLK3      12  2016    3.007519\n2017\n(13, 5)\n    type                  name  counts  year  rel_counts\n3   gngm                FLVCR1     216  2017   48.106904\n0   aapp  Androgen Receptor|AR     112  2017   24.944321\n11  horm             Androgens      62  2017   13.808463\n12  horm          Testosterone      18  2017    4.008909\n4   gngm        KLK3 gene|KLK3      12  2017    2.672606\n2018\n(13, 5)\n    type                  name  counts  year  rel_counts\n3   gngm                FLVCR1     280  2018   50.724638\n0   aapp  Androgen Receptor|AR     122  2018   22.101449\n11  horm             Androgens      64  2018   11.594203\n4   gngm        KLK3 gene|KLK3      26  2018    4.710145\n5   gngm        PTEN gene|PTEN      20  2018    3.623188\n2019\n(17, 5)\n    type                  name  counts  year  rel_counts\n4   gngm                FLVCR1     352  2019   48.285322\n15  horm             Androgens     136  2019   18.655693\n0   aapp  Androgen Receptor|AR     132  2019   18.106996\n5   gngm        KLK3 gene|KLK3      28  2019    3.840878\n16  horm          Testosterone      24  2019    3.292181\n2020\n(17, 5)\n    type                  name  counts  year  rel_counts\n4   gngm                FLVCR1     352  2020   48.285322\n15  horm             Androgens     136  2020   18.655693\n0   aapp  Androgen Receptor|AR     132  2020   18.106996\n5   gngm        KLK3 gene|KLK3      28  2020    3.840878\n16  horm          Testosterone      24  2020    3.292181\n    type                       name  counts  year  rel_counts\n0   gngm         Estrogen Receptors       1  1994  100.000000\n0   gngm         Estrogen Receptors       1  1995  100.000000\n0   gngm         Estrogen Receptors       1  1996  100.000000\n0   gngm         Estrogen Receptors       1  1997  100.000000\n0   gngm         Estrogen Receptors       1  1998  100.000000\n..   ...                        ...     ...   ...         ...\n13  gngm           STAT3 gene|STAT3       2  2020    0.274348\n3   aapp       epitheliasin|TMPRSS2       1  2020    0.137174\n1   aapp  Gastrin releasing peptide       1  2020    0.137174\n14  gngm             EGR1 gene|EGR1       1  2020    0.137174\n2   aapp               Somatomedins       1  2020    0.137174\n\n[117 rows x 5 columns]\n"
+     "text": "1980\n1981\n1982\n1983\n1984\n1985\n1986\n1987\n1988\n1989\n1990\n1991\n1992\n1993\n1994\n1995\n1996\n1997\n1998\n1999\n2000\n2001\n(2, 5)\n   type                        name  counts  year  rel_counts\n0  aapp  Complement System Proteins      18  2001   66.666667\n1  gngm  Complement System Proteins       9  2001   33.333333\n2002\n(3, 5)\n   type                        name  counts  year  rel_counts\n0  aapp  Complement System Proteins      10  2002        40.0\n2  gngm  Complement System Proteins      10  2002        40.0\n1  dsyn         Autoimmune Diseases       5  2002        20.0\n2003\n(5, 5)\n   type                        name  counts  year  rel_counts\n3  gngm                  Antibodies      50  2003   63.291139\n0  aapp  Complement System Proteins      10  2003   12.658228\n4  gngm  Complement System Proteins      10  2003   12.658228\n1  dsyn         Autoimmune Diseases       5  2003    6.329114\n2  dsyn          Glomerulonephritis       4  2003    5.063291\n2004\n(9, 5)\n   type                           name  counts  year  rel_counts\n1  dsyn           Rheumatoid Arthritis      74  2004   38.743455\n7  gngm                     Antibodies      52  2004   27.225131\n0  aapp     Complement System Proteins      27  2004   14.136126\n2  dsyn  Lupus Erythematosus, Systemic      14  2004    7.329843\n3  dsyn            Autoimmune Diseases       9  2004    4.712042\n2005\n(15, 5)\n    type                           name  counts  year  rel_counts\n2   dsyn           Rheumatoid Arthritis      81  2005   36.322870\n11  gngm                     Antibodies      50  2005   22.421525\n0   aapp     Complement System Proteins      30  2005   13.452915\n12  gngm     Complement System Proteins      20  2005    8.968610\n3   dsyn  Lupus Erythematosus, Systemic      12  2005    5.381166\n2006\n(25, 5)\n    type                        name  counts  year  rel_counts\n5   dsyn        Rheumatoid Arthritis      84  2006   25.846154\n19  gngm                  Antibodies      52  2006   16.000000\n0   aapp  Complement System Proteins      27  2006    8.307692\n1   aapp                  Antibodies      26  2006    8.000000\n24  orch                Methotrexate      24  2006    7.384615\n2007\n(34, 5)\n    type                           name  counts  year  rel_counts\n7   dsyn           Rheumatoid Arthritis     276  2007   41.255605\n0   aapp                     Antibodies      84  2007   12.556054\n28  gngm                     Antibodies      56  2007    8.370703\n8   dsyn             Sjogren's Syndrome      43  2007    6.427504\n9   dsyn  Lupus Erythematosus, Systemic      30  2007    4.484305\n2008\n(40, 5)\n    type                           name  counts  year  rel_counts\n9   dsyn           Rheumatoid Arthritis     735  2008   57.601881\n0   aapp                     Antibodies      84  2008    6.583072\n10  dsyn  Lupus Erythematosus, Systemic      66  2008    5.172414\n33  gngm                     Antibodies      56  2008    4.388715\n1   aapp                      rituximab      50  2008    3.918495\n2009\n(49, 5)\n    type                           name  counts  year  rel_counts\n10  dsyn           Rheumatoid Arthritis     760  2009   57.014254\n0   aapp                     Antibodies      78  2009    5.851463\n1   aapp                      rituximab      55  2009    4.126032\n11  dsyn  Lupus Erythematosus, Systemic      54  2009    4.051013\n39  gngm                     Antibodies      52  2009    3.900975\n2010\n(57, 5)\n    type                           name  counts  year  rel_counts\n13  dsyn           Rheumatoid Arthritis     909  2010   52.181401\n0   aapp                      rituximab     126  2010    7.233065\n44  gngm                      rituximab      90  2010    5.166475\n1   aapp                     Antibodies      78  2010    4.477612\n14  dsyn  Lupus Erythematosus, Systemic      72  2010    4.133180\n2011\n(67, 5)\n    type                           name  counts  year  rel_counts\n16  dsyn           Rheumatoid Arthritis    1199  2011   49.240246\n0   aapp                      rituximab     204  2011    8.377823\n50  gngm                      rituximab     144  2011    5.913758\n17  dsyn  Lupus Erythematosus, Systemic      84  2011    3.449692\n51  gngm                     Antibodies      78  2011    3.203285\n2012\n(76, 5)\n    type                           name  counts  year  rel_counts\n17  dsyn           Rheumatoid Arthritis    1560  2012   51.810030\n0   aapp                      rituximab     252  2012    8.369313\n56  gngm                      rituximab     192  2012    6.376619\n18  dsyn  Lupus Erythematosus, Systemic      91  2012    3.022252\n1   aapp                     Antibodies      78  2012    2.590501\n2013\n(86, 5)\n    type                           name  counts  year  rel_counts\n21  dsyn           Rheumatoid Arthritis    1806  2013   52.181450\n0   aapp                      rituximab     299  2013    8.639122\n64  gngm                      rituximab     208  2013    6.009824\n83  orch                   Methotrexate     105  2013    3.033805\n22  dsyn  Lupus Erythematosus, Systemic     104  2013    3.004912\n2014\n(96, 5)\n    type                           name  counts  year  rel_counts\n23  dsyn           Rheumatoid Arthritis    2465  2014   55.543037\n0   aapp                      rituximab     338  2014    7.616043\n70  gngm                      rituximab     221  2014    4.979721\n24  dsyn  Lupus Erythematosus, Systemic     126  2014    2.839117\n93  orch                   Methotrexate     117  2014    2.636323\n2015\n(98, 5)\n    type                  name  counts  year  rel_counts\n21  dsyn  Rheumatoid Arthritis    2652  2015   54.635352\n0   aapp             rituximab     434  2015    8.941080\n70  gngm             rituximab     238  2015    4.903173\n22  dsyn    Sjogren's Syndrome     144  2015    2.966625\n1   aapp            Antibodies     135  2015    2.781211\n2016\n(109, 5)\n     type                  name  counts  year  rel_counts\n27   dsyn  Rheumatoid Arthritis    3528  2016   56.839053\n0    aapp             rituximab     544  2016    8.764298\n80   gngm             rituximab     304  2016    4.897696\n106  orch          Methotrexate     172  2016    2.771065\n28   dsyn    Sjogren's Syndrome     150  2016    2.416626\n2017\n(81, 5)\n    type                           name  counts  year  rel_counts\n21  dsyn           Rheumatoid Arthritis    3276  2017   60.576923\n0   aapp                      rituximab     320  2017    5.917160\n78  orch                   Methotrexate     184  2017    3.402367\n22  dsyn  Lupus Erythematosus, Systemic     176  2017    3.254438\n23  dsyn            Autoimmune Diseases     150  2017    2.773669\n2018\n(85, 5)\n    type                           name  counts  year  rel_counts\n23  dsyn           Rheumatoid Arthritis    3196  2018   57.471678\n0   aapp                      rituximab     374  2018    6.725409\n82  orch                   Methotrexate     192  2018    3.452616\n24  dsyn  Lupus Erythematosus, Systemic     180  2018    3.236828\n25  dsyn            Autoimmune Diseases     160  2018    2.877180\n2019\n(96, 5)\n    type                           name  counts  year  rel_counts\n23  dsyn           Rheumatoid Arthritis    3383  2019   57.125971\n0   aapp                      rituximab     368  2019    6.214117\n93  orch                   Methotrexate     208  2019    3.512327\n24  dsyn  Lupus Erythematosus, Systemic     192  2019    3.242148\n25  dsyn            Autoimmune Diseases     187  2019    3.157717\n2020\n(96, 5)\n    type                           name  counts  year  rel_counts\n23  dsyn           Rheumatoid Arthritis    3383  2020   57.125971\n0   aapp                      rituximab     368  2020    6.214117\n93  orch                   Methotrexate     208  2020    3.512327\n24  dsyn  Lupus Erythematosus, Systemic     192  2020    3.242148\n25  dsyn            Autoimmune Diseases     187  2020    3.157717\n    type                        name  counts  year  rel_counts\n0   aapp  Complement System Proteins      18  2001   66.666667\n1   gngm  Complement System Proteins       9  2001   33.333333\n0   aapp  Complement System Proteins      10  2002   40.000000\n2   gngm  Complement System Proteins      10  2002   40.000000\n1   dsyn         Autoimmune Diseases       5  2002   20.000000\n..   ...                         ...     ...   ...         ...\n68  dsyn              glomerulopathy       1  2020    0.016886\n67  dsyn                     Uveitis       1  2020    0.016886\n66  dsyn          Ulcerative Colitis       1  2020    0.016886\n65  dsyn      Red-Cell Aplasia, Pure       1  2020    0.016886\n19  aapp                   Integrins       1  2020    0.016886\n\n[1129 rows x 5 columns]\n"
     }
    ],
    "source": [
@@ -823,20 +823,23 @@
     "#qterm1='Ketoconazole'\n",
     "#qterm2='Cushing syndrome'\n",
     "\n",
-    "#qterm1='Rituximab'\n",
-    "#qterm2='Rheumatoid arthritis'\n",
+    "qterm1='Rituximab'\n",
+    "qterm2='Rheumatoid arthritis'\n",
     "\n",
-    "qterm1='Vitamin D'\n",
-    "qterm2='Prostate cancer'\n",
+    "#qterm1='Vitamin D'\n",
+    "#qterm2='Prostate cancer'\n",
     "\n",
-    "qterm1='Fingolimod'\n",
-    "qterm2='Multiple sclerosis'\n",
+    "#qterm1='Fingolimod'\n",
+    "#qterm2='Multiple sclerosis'\n",
     "\n",
-    "qterm1='Carnitine'\n",
-    "qterm2='Pancreatic cancer'\n",
+    "#qterm1='Carnitine'\n",
+    "#qterm2='Pancreatic cancer'\n",
     "\n",
-    "qterm1='ERG'\n",
-    "qterm2='Prostate cancer'\n",
+    "#qterm1='ERG'\n",
+    "#qterm2='Prostate cancer'\n",
+    "\n",
+    "qterm1=\"Coffee consumption\"\n",
+    "qterm2=\"Breast cancer\"\n",
     "\n",
     "#qterm1='Dapoxetine'\n",
     "#qterm2='Premature ejaculation'\n",
@@ -866,21 +869,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 63,
    "metadata": {},
    "outputs": [
     {
      "output_type": "stream",
      "name": "stdout",
-     "text": "type                       name  counts  year  rel_counts\n0   gngm         Estrogen Receptors       1  1994  100.000000\n0   gngm         Estrogen Receptors       1  1995  100.000000\n0   gngm         Estrogen Receptors       1  1996  100.000000\n0   gngm         Estrogen Receptors       1  1997  100.000000\n0   gngm         Estrogen Receptors       1  1998  100.000000\n..   ...                        ...     ...   ...         ...\n13  gngm           STAT3 gene|STAT3       2  2020    0.274348\n3   aapp       epitheliasin|TMPRSS2       1  2020    0.137174\n1   aapp  Gastrin releasing peptide       1  2020    0.137174\n14  gngm             EGR1 gene|EGR1       1  2020    0.137174\n2   aapp               Somatomedins       1  2020    0.137174\n\n[117 rows x 5 columns]\n"
+     "text": "type                        name  counts  year  rel_counts\n0   aapp  Complement System Proteins      18  2001   66.666667\n1   gngm  Complement System Proteins       9  2001   33.333333\n0   aapp  Complement System Proteins      10  2002   40.000000\n2   gngm  Complement System Proteins      10  2002   40.000000\n1   dsyn         Autoimmune Diseases       5  2002   20.000000\n..   ...                         ...     ...   ...         ...\n68  dsyn              glomerulopathy       1  2020    0.016886\n67  dsyn                     Uveitis       1  2020    0.016886\n66  dsyn          Ulcerative Colitis       1  2020    0.016886\n65  dsyn      Red-Cell Aplasia, Pure       1  2020    0.016886\n19  aapp                   Integrins       1  2020    0.016886\n\n[1129 rows x 5 columns]\n"
     },
     {
      "output_type": "execute_result",
      "data": {
-      "text/plain": "['Estrogen Receptors',\n 'FLVCR1',\n 'EGR1 gene|EGR1',\n 'KLK3 gene|KLK3',\n 'Androgen Receptor|AR']"
+      "text/plain": "['Rheumatoid Arthritis',\n 'Complement System Proteins',\n 'Antibodies',\n 'rituximab',\n 'Autoimmune Diseases']"
      },
      "metadata": {},
-     "execution_count": 59
+     "execution_count": 63
     }
    ],
    "source": [
@@ -897,15 +900,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 64,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
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\n"
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