Kevin Meza Landeros

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1 -#Automatic Extraction of "Growth Conditions (GC)" from the "Gene Expression Omnibus (GEO)". 1 +# "Automatic Extraction of Growth Conditions (GC) from the Gene Expression Omnibus (GEO)".
2 -Proyecto para extraer de manera automática las condiciones de crecimiento de todas las enterobacterias de la GEO con ayuda de "Conditional Random Fields (CRFs)". 2 +Project to extract in an automatic way, the growth conditions of all enterobacteria within the GEO using "Conditional Random Fields " (CRFs).
3 3
4 +## Prerequisites
5 +### Programming languages
6 + - Python (version 2.7, version 3)
7 + - Bash
8 +
9 +## Folder content
10 +**CRF**
11 + - bin
12 + 1. label-split_training_test_v1.py
13 + 2. params.py
14 + 3. training_validation_v3.py
15 + - check
16 + 1. sentences-405-order-rep.txt
17 + - data-sets
18 + 1. test-data-set-30.txt
19 + 2. training-data-set-70.txt
20 + - models
21 + 1. training-data-set-70.fStopWords_False.fSymbols_False.mod
22 + - reports
23 + 1. report_training-data-set-70.fStopWords_False.fSymbols_False.txt
24 + 2. y_pred_training-data-set-70.fStopWords_False.fSymbols_False.txt
25 + 3. y_test_training-data-set-70.fStopWords_False.fSymbols_False.txt
26 +
27 +**CoreNLP**
28 + - bin
29 + 1. get-raw-sentences.sh
30 + 2. single_run.sh
31 + - input
32 + 1. raw-metadata-senteneces.txt
33 + - output
34 + 1. raw-metadata-senteneces.txt.conll
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