Dhall et al., 2020 - Google Patents
Computing skin cutaneous melanoma outcome from the HLA-alleles and clinical characteristicsDhall et al., 2020
View HTML- Document ID
- 14809368463558690379
- Author
- Dhall A
- Patiyal S
- Kaur H
- Bhalla S
- Arora C
- Raghava G
- Publication year
- Publication venue
- Frontiers in genetics
External Links
Snippet
Human leukocyte antigen (HLA) are essential components of the immune system that stimulate immune cells to provide protection and defense against cancer. Thousands of HLA alleles have been reported in the literature, but only a specific set of HLA alleles are present …
- 201000003708 skin melanoma 0 title abstract description 23
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay
- G01N33/574—Immunoassay; Biospecific binding assay for cancer
- G01N33/57407—Specifically defined cancers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/18—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/28—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/22—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for sequence comparison involving nucleotides or amino acids, e.g. homology search, motif or SNP [Single-Nucleotide Polymorphism] discovery or sequence alignment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/24—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/12—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for modelling or simulation in systems biology, e.g. probabilistic or dynamic models, gene-regulatory networks, protein interaction networks or metabolic networks
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES OR MICRO-ORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6876—Hybridisation probes
- C12Q1/6883—Hybridisation probes for diseases caused by alterations of genetic material
- C12Q1/6886—Hybridisation probes for diseases caused by alterations of genetic material for cancer
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Dhall et al. | Computing skin cutaneous melanoma outcome from the HLA-alleles and clinical characteristics | |
Schenck et al. | NeoPredPipe: high-throughput neoantigen prediction and recognition potential pipeline | |
Satpathy et al. | Massively parallel single-cell chromatin landscapes of human immune cell development and intratumoral T cell exhaustion | |
Smith et al. | Endogenous retroviral signatures predict immunotherapy response in clear cell renal cell carcinoma | |
Saini et al. | Human endogenous retroviruses form a reservoir of T cell targets in hematological cancers | |
Lee et al. | Comprehensive immunoproteogenomic analyses of malignant pleural mesothelioma | |
Pham et al. | Role of ultraviolet mutational signature versus tumor mutation burden in predicting response to immunotherapy | |
Shi et al. | CXCL10 potentiates immune checkpoint blockade therapy in homologous recombination-deficient tumors | |
Lu et al. | Tumor neoantigenicity assessment with CSiN score incorporates clonality and immunogenicity to predict immunotherapy outcomes | |
Ren et al. | Immune microenvironment and response in prostate cancer using large population cohorts | |
Tu et al. | Assessing microenvironment immunogenicity using tumor specimen exomes: Co‐detection of TcR‐α/β V (D) J recombinations correlates with PD‐1 expression | |
Kim et al. | MHC II immunogenicity shapes the neoepitope landscape in human tumors | |
Lv et al. | Immune cell infiltration-based characterization of triple-negative breast cancer predicts prognosis and chemotherapy response markers | |
Xu et al. | A novel defined super-enhancer associated gene signature to predict prognosis in patients with diffuse large B-cell lymphoma | |
Fernandes et al. | Real-world evidence of diagnostic testing and treatment patterns in US patients with breast cancer with implications for treatment biomarkers from RNA sequencing data | |
Xu et al. | Tumor microenvironment-associated immune-related genes for the prognosis of malignant pleural mesothelioma | |
Lim et al. | A genomic‐augmented multivariate prognostic model for the survival of natural‐killer/T‐cell lymphoma patients from an international cohort | |
Liang et al. | An Immune‐Related Prognostic Classifier Is Associated with Diffuse Large B Cell Lymphoma Microenvironment | |
Klopfenstein et al. | Evaluation of tumor immune contexture among intrinsic molecular subtypes helps to predict outcome in early breast cancer | |
Lo et al. | Indication-specific tumor evolution and its impact on neoantigen targeting and biomarkers for individualized cancer immunotherapies | |
Bhattacharya et al. | DeCompress: tissue compartment deconvolution of targeted mRNA expression panels using compressed sensing | |
Huang et al. | The development and validation of a novel senescence-related long-chain non-coding RNA (lncRNA) signature that predicts prognosis and the tumor microenvironment of patients with hepatocellular carcinoma | |
Yang et al. | Knockout of immunotherapy prognostic marker genes eliminates the effect of the anti-PD-1 treatment | |
Borch et al. | IMPROVE: a feature model to predict neoepitope immunogenicity through broad-scale validation of T-cell recognition | |
Sun et al. | Identification of alternative splicing-related genes CYB561 and FOLH1 in the tumor-immune microenvironment for endometrial cancer based on TCGA data analysis |