removed 'proj stmt' title.

Author: shraddhapai

README.md

@@ -2,9 +2,8 @@
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-## Project Statement
-
-netDx is for biomedical researchers who want to integrate multi-modal patient data to predict outcome or patient subtype. netDx builds interpretable machine-learning patient classifiers. Unlike standard machine-learning tools, netDx allows modeling of user-defined biological groups as input features; examples include pathways and co-regulated elements. In addition to patient classification, top-scoring features provide mechanistic insight, helping drive hypothesis generation for downstream experiments. netDx currently provides native support for pathway-level features but can be generalized to any user-defined data type and grouping.
+netDx is for biomedical researchers who want to integrate multi-modal patient data to predict outcome or patient subtype. 
+netDx builds interpretable machine-learning patient classifiers. Unlike standard machine-learning tools, netDx allows modeling of user-defined biological groups as input features; examples include pathways and co-regulated elements. In addition to patient classification, top-scoring features provide mechanistic insight, helping drive hypothesis generation for downstream experiments. netDx currently provides native support for pathway-level features but can be generalized to any user-defined data type and grouping.
 
 ## Install