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 54):
A method for identifying small RNA (sRNA) predictors, comprising:\n identifying, from sRNA sequencing data, one or more sRNA sequences that are present in one or more biological samples in an experimental cohort, and which are not present in any samples of a comparator cohort, thereby identifying a positive sRNA predictor, and detecting the positive sRNA predictor(s) 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: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14235936', '15324032', '15300808', '14505378', '13376225']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6053422785658564
- 35 USC 102 Novelty (BERT): 0.4813271254147427
- Combined Prediction Score: 0.5929407632507451
- Mean Citation Score: 209.426446
- Max Citation Score: 214.85522000000003
- Similarity Product: 164.68295233342292

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