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 1):
A system, comprising:\n at least one computer hardware processor; and at least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by the at least one computer hardware processor, cause the at least one computer hardware processor to perform:\n obtaining first RNA expression data and/or first whole exome sequencing (WES) data from biological samples from a plurality of subjects; \n determining a respective plurality of molecular-functional (MF) profiles for the plurality of subjects at least in part by, for each of the plurality of subjects,\n determining, using the first RNA expression data, a respective gene group expression level for each group in a set of gene groups, the set of gene groups comprising gene groups associated with cancer malignancy and different gene groups associated with cancer microenvironment; \n \n clustering the plurality of MF profiles to obtain MF profile clusters including:\n a first MF profile cluster associated with inflamed and vascularized biological samples and/or inflamed and fibroblast-enriched biological samples, \n a second MF profile cluster associated with inflamed and non-vascularized biological samples and/or inflamed and non-fibroblast-enriched biological samples, \n a third MF profile cluster associated with non-inflamed and vascularized biological samples and/or non-inflamed and fibroblast-enriched biological samples, and \n a fourth MF profile cluster associated with non-inflamed and non-vascularized biological samples and/or non-inflamed and non-fibroblast-enriched biological samples; \n \n obtaining second RNA expression data for a biological sample from a subject; \n determining a molecular-functional (MF) profile for the subject at least in part by determining, using the second RNA expression data, a gene group expression level for each group in the set of gene groups; and \n identifying, from among the MF profile clusters, a particular MF profile cluster with which to associate the MF profile for the subject.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 94.0
- Lexical Diversity: 2.1375
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16006572', '16006340', '16006279', '12086712', '13992020']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1670682455876119
- 35 USC 102 Novelty (BERT): 0.6308056330189871
- Combined Prediction Score: 0.2134419843307494
- Mean Citation Score: 336.586644
- Max Citation Score: 745.8786
- Similarity Product: 508.03615027899735

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