PATENT CLAIM ANALYSIS

Application Number: 16011167
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-04
Patent Classification: ["435", "006120"]

Abstract:
Differential expression of long non-coding RNAs (lncRNAs) and enhancer RNAs (eRNAs) are used to diagnose diseases including neurological diseases, inflammatory diseases, rheumatic diseases, and autoimmune diseases. Machine learning systems are used to identify lncRNAs or eRNAs having differential expression correlated with certain disease states.

Claim (Index 14):
The method of  claim 12 , wherein the machine learning system comprises an algorithm selected from the group consisting of a random forest, a support vector machine (SVM), and a boosting algorithm.

Metadata:
- Claim Count in Document: 57.0
- Percentile: 94.0
- Lexical Diversity: 1.47222
- Patent Class: 435.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15557214', '15126927', '14020811', '13789546', '15171883']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6316589161009256
- 35 USC 102 Novelty (BERT): 0.5157496155197479
- Combined Prediction Score: 0.6200679860428079
- Mean Citation Score: 242.861454
- Max Citation Score: 289.99106
- Similarity Product: 170.4293907296002

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test