PICNIC: an algorithm to predict absolute allelic copy number variation with microarray cancer data. - Wikidata - awgldk - TriplyDB

PICNIC: an algorithm to predict absolute allelic copy number variation with microarray cancer data.

PICNIC: an algorithm to predict absolute allelic copy number variation with microarray cancer data.

http://www.wikidata.org/entity/Q33511182

about

Massive genomic rearrangement acquired in a single catastrophic event during cancer development GLO1-A novel amplified gene in human cancer Deciphering intratumor heterogeneity and temporal acquisition of driver events to refine precision medicine Cancer evolution: mathematical models and computational inference Small molecule inhibition of group I p21-activated kinases in breast cancer induces apoptosis and potentiates the activity of microtubule stabilizing agents.Phylogenetic quantification of intra-tumour heterogeneity Statistical Inference in Hidden Markov Models Using k-Segment Constraints Spatial and temporal heterogeneity in high-grade serous ovarian cancer: a phylogenetic analysis BayMeth: improved DNA methylation quantification for affinity capture sequencing data using a flexible Bayesian approach The Growing Importance of CNVs: New Insights for Detection and Clinical Interpretation Systematic identification of genomic markers of drug sensitivity in cancer cells Somatic structural rearrangements in genetically engineered mouse mammary tumors.Unraveling the clonal hierarchy of somatic genomic aberrations.Bivariate segmentation of SNP-array data for allele-specific copy number analysis in tumour samples.THetA: inferring intra-tumor heterogeneity from high-throughput DNA sequencing data Deciphering clonality in aneuploid breast tumors using SNP array and sequencing data.DNA copy number, including telomeres and mitochondria, assayed using next-generation sequencing.sCNAphase: using haplotype resolved read depth to genotype somatic copy number alterations from low cellularity aneuploid tumors.TumorBoost: normalization of allele-specific tumor copy numbers from a single pair of tumor-normal genotyping microarrays seqCNA: an R package for DNA copy number analysis in cancer using high-throughput sequencing.HaplotypeCN: copy number haplotype inference with Hidden Markov Model and localized haplotype clustering A statistical approach for detecting genomic aberrations in heterogeneous tumor samples from single nucleotide polymorphism genotyping data High-definition reconstruction of clonal composition in cancer Chromosomal instability confers intrinsic multidrug resistance.Making sense of cancer genomic data.A computational framework discovers new copy number variants with functional importance Network-guided analysis of genes with altered somatic copy number and gene expression reveals pathways commonly perturbed in metastatic melanoma.Detecting copy number status and uncovering subclonal markers in heterogeneous tumor biopsies.Deconvolving tumor purity and ploidy by integrating copy number alterations and loss of heterozygosity.Model-integrated estimation of normal tissue contamination for cancer SNP allelic copy number data.The elusive evidence for chromothripsis Copy number polymorphisms near SLC2A9 are associated with serum uric acid concentrations Correcting for cancer genome size and tumour cell content enables better estimation of copy number alterations from next-generation sequence data.Allele-specific copy number analysis of tumors.Absolute quantification of somatic DNA alterations in human cancer Hybridization and amplification rate correction for affymetrix SNP arrays.Identification and validation of copy number variants using SNP genotyping arrays from a large clinical cohort Copy-number-aware differential analysis of quantitative DNA sequencing data Mutation discovery in regions of segmental cancer genome amplifications with CoNAn-SNV: a mixture model for next generation sequencing of tumors PyClone: statistical inference of clonal population structure in cancer.

P2860

Q24631164-4512D515-7976-4333-85D4-58767768DE94 Q24631249-C86DE764-2392-424D-8F8A-238ADC250F6C Q26825186-1EDFF836-60CA-4D08-9A83-76A58598A953 Q27002537-F30786FF-ED53-4546-ABB7-02A71E642490 Q28261026-BF40B5C0-2738-4D26-974F-88FBDD096F6A Q28537974-AC879212-911E-4A59-8FE5-78012983237A Q28602739-FBBA7A13-FAE0-4282-B98B-D4728C22D68D Q28649475-1DAA5869-607C-470C-A11E-A371CA73F642 Q28658401-E6165FAA-E27D-420C-9D25-B8CC96FFD2C6 Q28685216-2C802333-FE17-482B-94D7-75C325E6868E Q29547695-F238B0FF-8B56-4DE2-8122-1A5E389157F1 Q30472845-5C1DFCC8-307F-4327-8996-510768A31CBB Q30587156-DA3FB61B-213E-4637-87E4-4650F328DF77 Q30599531-0A688C61-956E-483A-B131-90F35480302F Q30657925-56B976F0-FB25-484D-BF4A-F73204324A6F Q30856576-EF20ED08-F29D-4767-B228-714E4A9AFE4D Q33557746-E5584B11-EE9B-455E-ACE6-D6407178BB44 Q33558237-D0E662F4-319E-4893-98FC-B42456EF8C84 Q33576281-73D085A3-56F9-49D2-A961-7EA9D994D337 Q33616397-9D9469B1-F938-414B-8350-06A2007F6DBC Q33644509-7D2B879D-1E66-4805-B38E-6580C2CE4A34 Q33698545-06BC393E-C546-4C5B-A402-EE17FDE655AF Q33775654-A94D2756-BD51-41DB-B20E-2CCE84E212FD Q33833372-BD76A15E-855D-496F-BA0B-260EDCC2CAAF Q33846850-18AC6EFC-D74E-435A-AAD0-AC870D3E9A05 Q33867576-A51EB40B-18C9-4B30-B7AC-E2F1C957670D Q33873686-DE8AF434-EBBD-4200-8EEC-035EEAA3F47B Q33898708-D0709F96-18B9-44D6-80F8-268B18832E7F Q33920391-450E4841-29E6-4278-8EA1-67E5B004D5B7 Q33939235-DA834605-8014-4B03-91DF-7F380F7140A4 Q33983540-A5E4EF5E-276B-42B1-AAD3-55557D93F6BA Q33986398-C25EC108-3A44-4579-9D39-02FBA2A36E1B Q34062061-F48D9549-C68D-4DE7-9984-0E4BF6CFBBB2 Q34165640-36C406A9-81C0-4890-B36A-4E0447576EA5 Q34271693-4E361115-F970-41D8-B63F-BE20165492CA Q34301294-75A9946E-3226-4A66-B31E-F3270B764684 Q34306097-E3592617-A5A0-49C4-A309-BECA74B6C5D9 Q34373648-7D8EE279-06FC-4A75-B007-BF53AB61D480 Q34390748-3931402F-98BD-4AF3-BC91-23FF6F5C60BB Q34410309-A4F4F0D1-3575-4B04-93FC-570B4A5C0664

P2860

PICNIC: an algorithm to predict absolute allelic copy number variation with microarray cancer data.

http://www.wikidata.org/entity/Q33511182

description

2009 nî lūn-bûn

@nan

2009 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2009 թվականի հոտեմբերին հրատարակված գիտական հոդված

@hy

2009年の論文

@ja

2009年論文

@yue

2009年論文

@zh-hant

2009年論文

@zh-hk

2009年論文

@zh-mo

2009年論文

@zh-tw

2009年论文

@wuu

name

PICNIC: an algorithm to predic ...... n with microarray cancer data.

@ast

PICNIC: an algorithm to predic ...... n with microarray cancer data.

@en

PICNIC: an algorithm to predic ...... n with microarray cancer data.

@nl

type

label

PICNIC: an algorithm to predic ...... n with microarray cancer data.

@ast

PICNIC: an algorithm to predic ...... n with microarray cancer data.

@en

PICNIC: an algorithm to predic ...... n with microarray cancer data.

@nl

prefLabel

PICNIC: an algorithm to predic ...... n with microarray cancer data.

@ast

PICNIC: an algorithm to predic ...... n with microarray cancer data.

@en

PICNIC: an algorithm to predic ...... n with microarray cancer data.

@nl

P1433

Q33511182-34157020-DF97-4E8A-BF15-6E66E255AA40

P1476

Q33511182-0C9910F8-F864-442C-9508-17AD9A0EED75

P2093

Q33511182-090168DF-0CE2-491C-BB00-00DDFACDB69C

Q33511182-1E466598-E57E-455D-B3DA-ABDA99FB4BA1

Q33511182-546A72B5-4477-4111-9713-424C8945B61F

Q33511182-6A364AC1-DBA8-41C2-AE79-B9CD48301FB8

Q33511182-8155BD17-F868-4BEC-A87E-11DD48C47FE3

Q33511182-90E67541-5F58-4597-8F4C-48DFAEB729E4

Q33511182-9603352D-8AF3-44D4-A9CE-57A1D0FD99F8

Q33511182-BF71D5F4-D54D-4D9D-AA56-EF7DBF9F673A

Q33511182-D8215AE6-2A42-44C3-A2C9-D5D989DB42B2

P2860

Q33511182-04FDD943-198C-41F3-992B-6B2A45295B84

Q33511182-05282EF1-697F-49C0-90EA-A72C391DC388

Q33511182-10FA6DC8-6E15-405F-91A8-370DFEAAF2A2

Q33511182-1A0B4A97-C506-4873-9308-652CCA6EDCB6

Q33511182-1C11A85A-8364-4AB1-AF81-0F6F1ACDD93B

Q33511182-2673F8EE-3166-46DB-A983-D9D0A6135854

Q33511182-32C8030A-3FBB-4EB3-8F1C-245A61C04465

Q33511182-3B1C3D2C-F7DE-4D2E-8521-BAD2E2D87AD6

Q33511182-42DE2796-296C-4055-A603-DAB5C1D8AF94

Q33511182-448DD047-AF04-48BA-8C2D-9BFA9190F55D

P304

Q33511182-A29702AB-309A-4A01-B8DC-44EF5EBF414F

P31

Q33511182-2E0233A2-7556-42ED-95E3-FD36F746AAA8

P356

Q33511182-0870FF10-6555-4D99-9502-905E7EB931CE

P433

Q33511182-9DCACAA9-B38D-44A4-AFA3-AAD12983CAED

P478

Q33511182-802A8505-C21B-44DA-B266-B9570EE86EB4

P50

Q33511182-057F0F62-2DB0-45CB-A416-A2BBC62124A2

Q33511182-605C7FC2-976E-45EE-8FCF-56726A976845

Q33511182-69CDABB8-71A7-4F9A-9AD8-FE90AE69C065

P577

Q33511182-ACE1FF27-F92D-4372-B2E4-CB764CA06FF4

P5875

Q33511182-7FEDE731-ACB9-4258-9CAC-465881784E4C

P698

Q33511182-B1DF4A79-84D4-4A14-8D28-136F51FA8C75

P932

Q33511182-CF6FA466-F994-48EC-BB3B-1339ED6C133E

P356

P1433

P1476

PICNIC: an algorithm to predic ...... n with microarray cancer data.

@en

P2093

Adam Butler

http://www.w3.org/2001/XMLSchema#string

Chris D Greenman

http://www.w3.org/2001/XMLSchema#string

Dave Beare

http://www.w3.org/2001/XMLSchema#string

Graham Bignell

http://www.w3.org/2001/XMLSchema#string

Jon Hinton

http://www.w3.org/2001/XMLSchema#string

Lina Chen

http://www.w3.org/2001/XMLSchema#string

P Andy Futreal

http://www.w3.org/2001/XMLSchema#string

Sajani Swamy

http://www.w3.org/2001/XMLSchema#string

Thomas Santarius

http://www.w3.org/2001/XMLSchema#string

P2860

Inferring loss-of-heterozygosity from unpaired tumors using high-density oligonucleotide SNP arrays

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Analysis of molecular inversion probe performance for allele copy number determination

Characterizing the cancer genome in lung adenocarcinoma.

Allele-specific amplification in cancer revealed by SNP array analysis

CARAT: a novel method for allelic detection of DNA copy number changes using high density oligonucleotide arrays.

PennCNV: an integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data

Circular binary segmentation for the analysis of array-based DNA copy number data

Flexible and accurate detection of genomic copy-number changes from aCGH.

A Hidden Markov Model to estimate population mixture and allelic copy-numbers in cancers using Affymetrix SNP arrays.

P304

164-175

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1093/BIOSTATISTICS/KXP045

http://www.w3.org/2001/XMLSchema#string

P433

1

http://www.w3.org/2001/XMLSchema#string

P478

11

http://www.w3.org/2001/XMLSchema#string

P50

Michael Stratton

P577

2009-10-15T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

38018825

http://www.w3.org/2001/XMLSchema#string

P698

19837654

http://www.w3.org/2001/XMLSchema#string

P932

2800165

http://www.w3.org/2001/XMLSchema#string