-
-Permission is hereby granted, free of charge, to any person obtaining a copy -of RepTB (the Software) and associated documentation files, to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions:
- -1) The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software.
- -
2) Appropriate credit must be given. - -
3) A link to the license must be provided, and indicate if changes were made. This may be done in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE.
- - - diff --git a/README.html b/README.html deleted file mode 100644 index 0277767..0000000 --- a/README.html +++ /dev/null @@ -1,49 +0,0 @@ - - - -/RepTB/inputfile.csv : This is the input file that we have used used in our study. This file contains the drug-target interactions from drugbank and GO mapping.
- - -/RepTB/reptb_nbi.py : The NBI code snippet contains comments that would help the researchers with their own data. All the researchers have to do is upload their GO mapped DTI file (inputfile.csv)and run the python code. The code will first generate an adjacent matrix using the input file and then create a prediction matrix called NBIscore which will be a m x n matrix. The output file (outputfile.csv) will be created which will contain predicted DTIs having scores within 20% of the max score for each Target.
- -/RepTB/outputfile.csv : This is the final output file generated using our input file and contains the prioritized list of predicted DTIs with the predicted scores. If you are uploading your own input file containing the DTIs, you might need to change the name of the output file in the python code provided.
- - -Customised GO mapped input files can be fed into the NBI algorithm for different model systems.
- - - - diff --git a/RepTB/LICENSE.html b/RepTB/LICENSE.html new file mode 100644 index 0000000..64812e3 --- /dev/null +++ b/RepTB/LICENSE.html @@ -0,0 +1,25 @@ + + + + + +
+Attribution : You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
+ +No additional restrictions : You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
+ + diff --git a/RepTB/README.html b/RepTB/README.html new file mode 100644 index 0000000..9d7cc97 --- /dev/null +++ b/RepTB/README.html @@ -0,0 +1,43 @@ + + + +inputfile.csv : This is the input file that we have used in our study. This file contains the drug-target interactions from drugbank and GO mapping. Customised GO mapped input files can be fed into the NBI algorithm for different model systems.
+ + +reptb_nbi.py : The NBI code snippet contains comments that would help the researchers with their own data. All the researchers have to do is upload their GO mapped DTI file (inputfile.csv)and run the python code. The code will first generate an adjacent matrix using the input file and then create a prediction matrix called NBIscore which will be a m x n matrix. The output file (outputfile.csv) will be created which will contain predicted DTIs having scores within 20% of the max score for each Target.
+ +outputfile.csv : This is the final output file generated using the input file and contains the prioritized list of predicted DTIs with the predicted scores. If you are uploading your own input file containing the DTIs, you might need to change the name of the output file in the python code provided.
+ + +