PATENT CLAIM ANALYSIS

Application Number: 16038790
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["702", "019000"]

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 3):
The method of  claim 1 , wherein the labels attached to the occurrences of the first target molecule or the second target molecule comprise labels with k different label sequences,\n wherein n is n 1  or n 2 , wherein m and n are related by Var(k), wherein Var \ue8a0 ( k ) = m \ue8a0 [ 1 - ( 1 - 1 m ) n ] \ue89e ( 1 - 1 m ) n + m \ue8a0 ( m - 1 ) \ue8a0 [ ( 1 - 2 m ) n - ( 1 - 1 m ) 2 \ue89e \ue89e n ] , and wherein Var(k) denotes the variance of k.

Metadata:
- Claim Count in Document: 71.0
- Percentile: 95.0
- Lexical Diversity: 1.71765
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15224460', '16038832', '15217896', '15217886', '14540018']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2570361281199798
- 35 USC 102 Novelty (BERT): 0.625658527569842
- Combined Prediction Score: 0.293898368064966
- Mean Citation Score: 501.69868
- Max Citation Score: 529.1959
- Similarity Product: 522.6913564262331

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