Luca et al., 2021 - Google Patents
Atlas of clinically distinct cell states and ecosystems across human solid tumorsLuca et al., 2021
View HTML- Document ID
- 2400344276861752253
- Author
- Luca B
- Steen C
- Matusiak M
- Azizi A
- Varma S
- Zhu C
- Przybyl J
- Espín-Pérez A
- Diehn M
- Alizadeh A
- van de Rijn M
- Gentles A
- Newman A
- Publication year
- Publication venue
- Cell
External Links
Snippet
Determining how cells vary with their local signaling environment and organize into distinct cellular communities is critical for understanding processes as diverse as development, aging, and cancer. Here we introduce EcoTyper, a machine learning framework for large …
- 206010028980 Neoplasm 0 title abstract description 199
Classifications
-
- 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
- G06F19/24—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
- G06F19/20—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for hybridisation or gene expression, e.g. microarrays, sequencing by hybridisation, normalisation, profiling, noise correction models, expression ratio estimation, probe design or probe optimisation
-
- 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
-
- 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
-
- 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
-
- 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
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Health care, e.g. hospitals; Social work
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Luca et al. | Atlas of clinically distinct cell states and ecosystems across human solid tumors | |
| Steen et al. | The landscape of tumor cell states and ecosystems in diffuse large B cell lymphoma | |
| Jamshidi et al. | Evaluation of cell-free DNA approaches for multi-cancer early detection | |
| Newman et al. | Determining cell type abundance and expression from bulk tissues with digital cytometry | |
| Zaitsev et al. | Precise reconstruction of the TME using bulk RNA-seq and a machine learning algorithm trained on artificial transcriptomes | |
| Qian et al. | Prognostic cancer gene expression signatures: current status and challenges | |
| Peng et al. | Cell–cell communication inference and analysis in the tumour microenvironments from single-cell transcriptomics: data resources and computational strategies | |
| JP7545891B2 (en) | Systems and methods for analyzing mixed cell populations - Patents.com | |
| Huang et al. | Bioinformatics analysis for circulating cell-free DNA in cancer | |
| Dyrskjøt et al. | Identifying distinct classes of bladder carcinoma using microarrays | |
| Huang et al. | An aggrephagy-related lncRNA signature for the prognosis of pancreatic adenocarcinoma | |
| US20230027353A1 (en) | Systems and Methods for Deconvoluting Tumor Ecosystems for Personalized Cancer Therapy | |
| Chen et al. | An integrated cross-platform prognosis study on neuroblastoma patients | |
| Li et al. | TimiGP: Inferring cell-cell interactions and prognostic associations in the tumor immune microenvironment through gene pairs | |
| Merkel et al. | Experimental and bioinformatic approaches to studying DNA methylation in cancer | |
| Salinas et al. | A prediction model for preoperative risk assessment in endometrial cancer utilizing clinical and molecular variables | |
| Sun et al. | Cuproptosis and immune-related gene signature predicts immunotherapy response and prognosis in lung adenocarcinoma | |
| Bhattacharya et al. | DeCompress: tissue compartment deconvolution of targeted mRNA expression panels using compressed sensing | |
| Kim et al. | Statistical methods of translating microarray data into clinically relevant diagnostic information in colorectal cancer | |
| Tang et al. | Protein-based classification reveals an immune-hot subtype in IDH mutant astrocytoma with worse prognosis | |
| Isella et al. | Improved outcome prediction for appendiceal pseudomyxoma peritonei by integration of cancer cell and stromal transcriptional profiles | |
| Miron Mombiela et al. | What genetics can do for oncological imaging: A systematic review of the genetic validation data used in radiomics studies | |
| Zhang et al. | The immune subtypes and landscape of advanced-stage ovarian cancer | |
| Ouyang et al. | An activated dendritic-cell-related gene signature indicative of disease prognosis and chemotherapy and immunotherapy response in colon cancer patients | |
| Piliszek et al. | Computational analysis identifies novel biomarkers for high-risk bladder cancer patients |