A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data (Q28749765)

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scientific article (publication date: August 2010)

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English	A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data	scientific article (publication date: August 2010)

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instance of

scholarly article

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title

A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data (English)

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main subject

gene expression data

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based on heuristic

inferred from title

author

Despina Sanoudou

object named as

D Sanoudou

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4

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Russell S. Thomas

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R Thomas

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14

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author name string

J Luo

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1

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M Schumacher

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2

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A Scherer

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3

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D Megherbi

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5

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T Davison

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6

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T Shi

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7

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W Tong

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8

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L Shi

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9

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H Hong

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10

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C Zhao

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11

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F Elloumi

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12

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W Shi

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13

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S Lin

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15

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G Tillinghast

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16

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G Liu

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17

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Y Zhou

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18

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D Herman

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19

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Y Li

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20

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Y Deng

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21

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H Fang

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22

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P Bushel

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23

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M Woods

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24

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J Zhang

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25

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language of work or name

English

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publication date

August 2010

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published in

The Pharmacogenomics Journal

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volume

10

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issue

4

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page(s)

278-91

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cites work

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Adjusting batch effects in microarray expression data using empirical Bayes methods

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The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

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Empirical Bayes accomodation of batch-effects in microarray data using identical replicate reference samples: application to RNA expression profiling of blood from Duchenne muscular dystrophy patients

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3 June 2018

Pharmacogenomic predictor of sensitivity to preoperative chemotherapy with paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide in breast cancer.

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21 January 2018

A gene expression biomarker provides early prediction and mechanistic assessment of hepatic tumor induction by nongenotoxic chemicals

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Application of genomic biomarkers to predict increased lung tumor incidence in 2-year rodent cancer bioassays.

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A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome 1.

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Customized Oligonucleotide Microarray Gene Expression–Based Classification of Neuroblastoma Patients Outperforms Current Clinical Risk Stratification

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Identifiers

DOI

10.1038/TPJ.2010.57

1 reference

stated in

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

1010258

Dimensions Publication ID

1030763566

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OpenCitations bibliographic resource ID

1010258

1 reference

stated in

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

1010258

PMC publication ID

2920074

1 reference

stated in

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

1010258

PubMed publication ID

20676067

1 reference

stated in

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

1010258

ResearchGate publication ID

45440920

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