PATENT CLAIM ANALYSIS

Application Number: 16006555
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["702", "019000"]

Abstract:
Various methods, systems, computer readable media, and graphical user interfaces (GUIs) are presented and described that enable a subject, doctor, or user to characterize or classify various types of cancer precisely. Additionally, described herein are methods, systems, computer readable media, and GUIs that enable more effective specification of treatment and improved outcomes for patients with identified types of cancer. Some embodiments of the methods, systems, computer readable media, and GUIs described herein comprise obtaining RNA expression data and/or whole exome sequencing (WES) data for biological samples; determining a respective plurality of molecular-functional (MF) profiles for a plurality of subjects; clustering the plurality of MF profiles to obtain MF profile clusters; determining a molecular-functional (MF) profile for an additional subject; and identifying, from among the MF profile clusters, a particular MF profile cluster with which to associate the MF profile for the subject.

Claim (Index 12):
The system of  claim 1 , wherein:\n (a) obtaining the RNA expression data is performed using whole transcriptome sequencing or mRNA sequencing; and/or (b) each of the biological samples is from a tumor or tissue known or suspected of having cancerous cells.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 94.0
- Lexical Diversity: 2.1375
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16006572', '16006340', '16006279', '12086712', '13992020']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1733885665243806
- 35 USC 102 Novelty (BERT): 0.6795550220846375
- Combined Prediction Score: 0.2240052120804062
- Mean Citation Score: 336.586644
- Max Citation Score: 745.8786
- Similarity Product: 640.8028768245221

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