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 12):
A method of identifying biomarkers of disease, the method comprising:\n isolating ribonucleic acid (RNA) from a plurality of samples from patients having a known disease status; conducting an assay on the RNA to sequence and measure expression levels of a plurality of long non-coding RNA (lncRNA) species; providing the expression levels and known disease outcomes for each of the plurality of samples to a machine learning system; and identifying, using the machine learning system, a plurality of differentially expressed lncRNA species that indicate the presence of the disease with threshold levels of accuracy, sensitivity, and specificity.

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

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.570144121941137
- 35 USC 102 Novelty (BERT): 0.5063891151203106
- Combined Prediction Score: 0.5637686212590544
- Mean Citation Score: 242.861454
- Max Citation Score: 289.99106
- Similarity Product: 215.61962114946363

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