PATENT CLAIM ANALYSIS

Application Number: 16029036
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-10
Patent Classification: ["435", "006120"]

Abstract:
The invention provides a method for identifying or detecting small RNA (sRNA) predictors of a disease or a condition. The method comprises identifying one or more sRNA sequences that are present in one or more samples of an experimental cohort, and which are not present across a comparator cohort; and optionally identifying one or more sRNA sequences that are present in one or more samples of a comparator cohort, and which are not present across an experimental cohort. In contrast to identifying dysregulated non-coding RNAs (such as miRs that are up- or down-regulated), the invention identifies sRNAs that are binary predictors, that is, present in one cohort (e.g., an experimental cohort) and not another (e.g., a comparator cohort). Further, by quantifying reads for individual sequences (e.g., iso-miRs), without consolidating reads to annotated reference sequences, the invention unlocks the diagnostic utility of miRs and other sRNAs.

Claim (Index 71):
The method of  claim 70 , wherein from 4 to 15 sRNA predictors are selected and detected in an independent sample using a quantitative or qualitative PCR assay.

Metadata:
- Claim Count in Document: 86.0
- Percentile: 95.0
- Lexical Diversity: 2.40845
- Patent Class: 435.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14235936', '15324032', '15300808', '14505378', '13376225']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6298006626095861
- 35 USC 102 Novelty (BERT): 0.4992870997647055
- Combined Prediction Score: 0.6167493063250981
- Mean Citation Score: 209.426446
- Max Citation Score: 214.85522000000003
- Similarity Product: 137.0889280363393

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

Dataset: test