NO20012036L - Fremgangsmåter for å anvende ko-regulerte gensett for å forsterke deteksjon og klassifikasjon av genekspresjonsmönstre - Google Patents

Fremgangsmåter for å anvende ko-regulerte gensett for å forsterke deteksjon og klassifikasjon av genekspresjonsmönstre

Info

Publication number
NO20012036L
NO20012036L NO20012036A NO20012036A NO20012036L NO 20012036 L NO20012036 L NO 20012036L NO 20012036 A NO20012036 A NO 20012036A NO 20012036 A NO20012036 A NO 20012036A NO 20012036 L NO20012036 L NO 20012036L
Authority
NO
Norway
Prior art keywords
methods
biological
genes
expression
biological response
Prior art date
Application number
NO20012036A
Other languages
English (en)
Other versions
NO20012036D0 (no
Inventor
Stephen H Friend
Roland Stoughton
Yudong He
Original Assignee
Rosetta Inpharmatics Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US09/179,569 external-priority patent/US6203987B1/en
Priority claimed from US09/220,275 external-priority patent/US6950752B1/en
Application filed by Rosetta Inpharmatics Inc filed Critical Rosetta Inpharmatics Inc
Publication of NO20012036D0 publication Critical patent/NO20012036D0/no
Publication of NO20012036L publication Critical patent/NO20012036L/no

Links

Classifications

    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/68Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
    • G01N33/6803General methods of protein analysis not limited to specific proteins or families of proteins
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6809Methods for determination or identification of nucleic acids involving differential detection
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6813Hybridisation assays
    • C12Q1/6834Enzymatic or biochemical coupling of nucleic acids to a solid phase
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B25/00ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
    • G16B25/10Gene or protein expression profiling; Expression-ratio estimation or normalisation
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/30Unsupervised data analysis
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B25/00ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Biotechnology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Medical Informatics (AREA)
  • Organic Chemistry (AREA)
  • Molecular Biology (AREA)
  • Genetics & Genomics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Zoology (AREA)
  • Wood Science & Technology (AREA)
  • Immunology (AREA)
  • Analytical Chemistry (AREA)
  • Databases & Information Systems (AREA)
  • Microbiology (AREA)
  • Epidemiology (AREA)
  • Biochemistry (AREA)
  • Public Health (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Bioethics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Urology & Nephrology (AREA)
  • Hematology (AREA)
  • Biomedical Technology (AREA)
  • Cell Biology (AREA)
  • Pathology (AREA)
  • General Physics & Mathematics (AREA)

Abstract

Den foreliggende oppfinnelse tilveiebringer metoder for forsterket deteksjon av biologiske responsmønstre. l en utførelsesform av oppfinnelsen grupperes gener til basisgensett i samsvar med ko-reguleringen av deres ekspresjon. Ekspresjon av individuelle gener innenfor et gensett indikeres med en enkelt genekspresjonsverdi for gensettet ved hjelp av en projeksjonsprosess. Ekspresjonsverdiene av gensett, snarere enn ekspresjonen av enkeltgener, anvender så som basis for sammenligning og deteksjon av biologisk respons med meget forsterket sensitivitet. I en ytterligere utførelsesform av oppfinnelsen grupperes biologiske responser i samsvar med similariteten av deres biologiske profil. Metodene ifølge oppfinnelsen har mange nyttige anvendelser, spesielt innenfor områdene med legemiddelutvikling og legemiddeloppdagelse. F.eks. kan metodene ifølge oppfinnelsen anvendes for å sammenligne biologiske responser med meget forsterket sensitivitet. De biologiske responser som kan sammenlignes ved hjelp av disse metoder inkluderer responser til enkle perturbasjoner, som f.eks. en biologisk respons til en mutasjon eller temperaturendring, såvel som graderte perturbasjoner som f.eks. titrasjon med et spesielt legemiddel. Metodene er også nyttige for å identifisere cellulære bestanddeler, særlig gener, assosiert med en spesiell type av biologisk respons. Videre kan metodene også anvendes for å identifisere perturbasjoner, som f.eks. nye legemidler eller mutasjoner, som påvirker ett eller flere spesielle gensett. Metodene kan ytterligere anvendes for å fjerne forsøksartefakter i biologiske responsdata.
NO20012036A 1998-10-27 2001-04-25 Fremgangsmåter for å anvende ko-regulerte gensett for å forsterke deteksjon og klassifikasjon av genekspresjonsmönstre NO20012036L (no)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US09/179,569 US6203987B1 (en) 1998-10-27 1998-10-27 Methods for using co-regulated genesets to enhance detection and classification of gene expression patterns
US09/220,275 US6950752B1 (en) 1998-10-27 1998-12-23 Methods for removing artifact from biological profiles
PCT/US1999/025025 WO2000024936A1 (en) 1998-10-27 1999-10-27 Methods for using co-regulated genesets to enhance detection and classification of gene expression patterns

Publications (2)

Publication Number Publication Date
NO20012036D0 NO20012036D0 (no) 2001-04-25
NO20012036L true NO20012036L (no) 2001-06-25

Family

ID=26875445

Family Applications (1)

Application Number Title Priority Date Filing Date
NO20012036A NO20012036L (no) 1998-10-27 2001-04-25 Fremgangsmåter for å anvende ko-regulerte gensett for å forsterke deteksjon og klassifikasjon av genekspresjonsmönstre

Country Status (11)

Country Link
EP (1) EP1124992A4 (no)
JP (1) JP2002528095A (no)
KR (1) KR20010081098A (no)
AU (1) AU773456B2 (no)
BR (1) BR9914913A (no)
CA (1) CA2348837A1 (no)
HU (1) HUP0104050A2 (no)
IL (1) IL142840A0 (no)
IS (1) IS5929A (no)
NO (1) NO20012036L (no)
PL (1) PL347495A1 (no)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9183349B2 (en) 2005-12-16 2015-11-10 Nextbio Sequence-centric scientific information management
WO2007075488A2 (en) 2005-12-16 2007-07-05 Nextbio System and method for scientific information knowledge management
WO2009111581A1 (en) 2008-03-04 2009-09-11 Nextbio Categorization and filtering of scientific data
JP2012514994A (ja) * 2009-01-19 2012-07-05 システミック・スコットランド・リミテッド 非コードrna発現アッセイを用いた方法
JP5133368B2 (ja) * 2010-05-30 2013-01-30 株式会社 ワールドフュージョン 発現データ予測システム
WO2015198620A1 (ja) * 2014-06-23 2015-12-30 オリンパス株式会社 組織地図作成方法
CN111507649B (zh) * 2020-06-30 2020-11-27 上海竞动科技有限公司 一种基于区块链的金融大数据风控平台
CN117933579B (zh) * 2024-03-25 2024-06-25 中国农业科学院草原研究所 一种高效人工草地综合管理方法

Also Published As

Publication number Publication date
HUP0104050A2 (hu) 2002-03-28
AU1451700A (en) 2000-05-15
PL347495A1 (en) 2002-04-08
CA2348837A1 (en) 2000-05-04
AU773456B2 (en) 2004-05-27
BR9914913A (pt) 2001-10-16
KR20010081098A (ko) 2001-08-27
EP1124992A1 (en) 2001-08-22
EP1124992A4 (en) 2006-09-06
IL142840A0 (en) 2002-03-10
NO20012036D0 (no) 2001-04-25
IS5929A (is) 2001-04-27
JP2002528095A (ja) 2002-09-03

Similar Documents

Publication Publication Date Title
Ge et al. Correlation between transcriptome and interactome mapping data from Saccharomyces cerevisiae
Han et al. Evidence for dynamically organized modularity in the yeast protein–protein interaction network
Washietl et al. Fast and reliable prediction of noncoding RNAs
Zou et al. Supersecondary structure prediction using Chou's pseudo amino acid composition
Rustici et al. Periodic gene expression program of the fission yeast cell cycle
Pagel et al. A domain interaction map based on phylogenetic profiling
Cresswell et al. TADCompare: an R package for differential and temporal analysis of topologically associated domains
Zhong et al. HomeoDB: a database of homeobox gene diversity
Lin et al. Computational methods for analyzing and modeling genome structure and organization
Zhang et al. Searching genomes for noncoding RNA using FastR
Madaoui et al. Coevolution at protein complex interfaces can be detected by the complementarity trace with important impact for predictive docking
Belenko et al. Intrusion detection for Internet of Things applying metagenome fast analysis
Barshai et al. Identifying regulatory elements via deep learning
NO20012036L (no) Fremgangsmåter for å anvende ko-regulerte gensett for å forsterke deteksjon og klassifikasjon av genekspresjonsmönstre
Tripathi et al. Minimal frustration underlies the usefulness of incomplete regulatory network models in biology
Adsera et al. Integrative analysis of 10,000 epigenomic maps across 800 samples for regulatory genomics and disease dissection
Arango-Argoty et al. MetaMLP: a fast word embedding based classifier to profile target gene databases in metagenomic samples
Wang et al. Prediction of hot spots in protein interfaces using extreme learning machines with the information of spatial neighbour residues
Huang et al. Defining and predicting structurally conserved regions in protein superfamilies
Bradford et al. GO‐At: In silico prediction of gene function in Arabidopsis thaliana by combining heterogeneous data
de Almeida et al. DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of enhancers
Stadler et al. asteRIa enables robust interaction modeling between chromatin modifications and epigenetic readers
Fröhlich Including network knowledge into Cox regression models for biomarker signature discovery
Zhao et al. Establishing the phylogeny of Prochlorococcus with a new alignment‐free method
Krishnadev et al. A graph spectral analysis of the structural similarity network of protein chains

Legal Events

Date Code Title Description
FC2A Withdrawal, rejection or dismissal of laid open patent application