PATENT CLAIM ANALYSIS

Application Number: 16219553
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["506", "009000"]

Abstract:
Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.

Claim (Index 27):
The method of  claim 1 , wherein the first target molecule and/or the second target molecule is RNA, mRNA, or fragments thereof.

Metadata:
- Claim Count in Document: 74.0
- Percentile: 98.0
- Lexical Diversity: 1.71765
- Patent Class: 506.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15217886', '16038832', '15224460', '15217896', '14975441']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.609507324505518
- 35 USC 102 Novelty (BERT): 0.5861262321082726
- Combined Prediction Score: 0.6071692152657935
- Mean Citation Score: 480.591792
- Max Citation Score: 493.17715
- Similarity Product: 415.7862258545338

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

Dataset: test