Add motif tables

cangermueller · Feb 16, 2017 · 1c93f54 · 1c93f54
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diff --git a/README.rst b/README.rst
@@ -2,16 +2,19 @@
 DeepCpG: Deep neural networks for predicting single-cell DNA methylation
 ========================================================================
 
-|License| |PyPI| |Version| |Tweet|
+|Version| |License| |PyPI| |Docs| |Tweet|
+
+.. |Version| image:: https://img.shields.io/badge/python-3.5%2B-green.svg
+  :target: https://www.python.org/
 
 .. |License| image:: https://img.shields.io/github/license/mashape/apistatus.svg
   :target: https://github.com/cangermueller/deepcpg/tree/master/LICENSE
 
 .. |PyPI| image:: https://img.shields.io/pypi/v/nine.svg?style=plastic
-  :target: https://pypi.python.org/pypi/deepcpg/1.0.0
+  :target: https://pypi.python.org/pypi/deepcpg/1.0.1
 
-.. |Version| image:: http://aigamedev.github.io/scikit-neuralnetwork/badge_python.svg
-  :target: https://www.python.org/
+.. |Docs| image:: https://img.shields.io/badge/docs-up--to--date-green.svg
+  :target: http://deepcpg.readthedocs.io
 
 .. |Tweet| image:: https://img.shields.io/twitter/url/http/shields.io.svg?style=social
   :target: https://twitter.com/intent/tweet?text=Checkout+%23DeepCpG%3A+%23DeepLearning+for+predicting+DNA+methylation%2C+%40cangermueller 

diff --git a/docs/models.md b/docs/models.md
@@ -29,12 +29,13 @@ Models trained on 18 serum mouse embryonic stem cells (mESCs)
 Models trained on 12 2i mouse embryonic stem cells (mESCs)
 
 * [DNA module](http://www.ebi.ac.uk/~angermue/deepcpg/alias/51b5b3df82e5431a37794640647baafd)
+  * [Motifs](./models/motifs/Smallwood2014_2i.html)
 * [CpG module](http://www.ebi.ac.uk/~angermue/deepcpg/alias/f89b2e8344012d73e95504da06bcf378)
 * [Joint module](http://www.ebi.ac.uk/~angermue/deepcpg/alias/7c8fbb955d620d994f391630ef0b909c)
 
 
 
-## Hou et al. (2014)
+## Hou et al. (2016)
 
 * [Hou et al. (2016)](http://www.nature.com/cr/journal/v26/n3/full/cr201623a.html)
 * Protocol: scRRBS-Seq
@@ -48,6 +49,7 @@ Hou, Yu, Huahu Guo, Chen Cao, Xianlong Li, Boqiang Hu, Ping Zhu, Xinglong Wu, et
 Models trained on 25 human hepatocellular carcinoma cells (HCCs).
 
 * [DNA module](http://www.ebi.ac.uk/~angermue/deepcpg/alias/260e4c19cef65fd36f7e7e3d7edd2c15)
+  * [Motifs](./models/motifs/Hou2016_hcc.html)
 * [CpG module](http://www.ebi.ac.uk/~angermue/deepcpg/alias/78730fac7c4bd2c3a43b7cf9ef99f547)
 * [Joint module](http://www.ebi.ac.uk/~angermue/deepcpg/alias/f58d95caa1c6dfb4d5d796af855292ae)
 
@@ -56,6 +58,7 @@ Models trained on 25 human hepatocellular carcinoma cells (HCCs).
 Models trained on 6 human heptoplastoma-derived (HepG2) cells.
 
 * [DNA module](http://www.ebi.ac.uk/~angermue/deepcpg/alias/e5ffbf52cef081c9bf58e09ba873fd95)
+  * [Motifs](./models/motifs/Hou2016_hep.html)
 * [CpG module](http://www.ebi.ac.uk/~angermue/deepcpg/alias/0e463dc20d82f50d8b1fe45e3c3c1cec)
 * [Joint module](http://www.ebi.ac.uk/~angermue/deepcpg/alias/e84cc69d34789f05e3a1a1c9f142c737)
 
@@ -64,5 +67,6 @@ Models trained on 6 human heptoplastoma-derived (HepG2) cells.
 Models trained on 6 mouse embryonic stem cells (mESCs).
 
 * [DNA module](http://www.ebi.ac.uk/~angermue/deepcpg/alias/e5ffbf52cef081c9bf58e09ba873fd95)
+  * [Motifs](./models/motifs/Hou2016_mesc.html)
 * [CpG module](http://www.ebi.ac.uk/~angermue/deepcpg/alias/0e463dc20d82f50d8b1fe45e3c3c1cec)
 * [Joint module](http://www.ebi.ac.uk/~angermue/deepcpg/alias/e84cc69d34789f05e3a1a1c9f142c737)
diff --git a/docs/models/motifs/Hou2016_hcc.html b/docs/models/motifs/Hou2016_hcc.html
diff --git a/docs/models/motifs/Hou2016_hep.html b/docs/models/motifs/Hou2016_hep.html
diff --git a/docs/models/motifs/Hou2016_mesc.html b/docs/models/motifs/Hou2016_mesc.html
diff --git a/docs/models/motifs/Smallwood2014_2i.html b/docs/models/motifs/Smallwood2014_2i.html