• Suche: Methods of microarray data analysis

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Hybrid intelligent methods for microarray data analysis
Pugalendhi, GaneshKumar ; Kim, Ku-Jin
2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE) Bioinformatics and Bioengineering (BIBE), 2015 IEEE 15th International Conference on. :1-6 Nov, 2015

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3

How Many Genes Are Needed for a Discriminant Microarray Data Analysis ?
Li, Wentian ; Yang, Yaning
in Methods of Microarray Data Analysis, eds SM Lin and KF Johnson (Kluwer Academic, 2002), pp.137-150

Physics - Biological Phy... Physics - Data Analysis,... Quantitative Biology - Q...
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5

Batch effect removal methods for microarray gene expression data integration: a survey.
Lazar, Cosmin ; Meganck, Stijn ; Taminau, Jonatan ; et al.
Briefings in Bioinformatics. Jul2013, Vol. 14 Issue 4, p469-490. 22p.

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7

To select relevant features for longitudinal gene expression data by extending a pathway analysis method [version 1; referees: 2 approved, 1 approved with reservations]
Suyan Tian ; Chi Wang ; Howard H. Chang
F1000Research. 7:1166

Method Article Articles Core subset feature selection gene set analysis longitudinal microarray... …
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8

Combined Gene Selection Methods for Microarray Data Analysis
Knowledge-based and intelligent information and engineering systems; KES 2006
Hu, H. ; Li, J. ; Wang, H. ; et al.
LECTURE NOTES IN COMPUTER SCIENCE. (4251):976-983

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10

There is no silver bullet - a guide to low-level data transforms and normalisation methods for microarray data.
Kreil, David P. ; Russell, Roslin R.
Briefings in Bioinformatics. Mar2005, Vol. 6 Issue 1, p86-97. 12p. 13 Graphs, 1 Map.

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11

Methods for Microarray Data Analysis
Microarrays Volume 2: Applications and Data Analysis
De Bruyne, V. ; Al-Mulla, F. ; Pot, B.
METHODS IN MOLECULAR BIOLOGY -CLIFTON THEN TOTOWA-. 382:373-392

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12

Nonparametric Methods for Microarray Data Based on Exchangeability and Borrowed Power.
Ting Lee, Mei-Ling ; Whitmore, G.A. ; Björkbacka, Harry ; et al.
Journal of Biopharmaceutical Statistics. Oct2005, Vol. 15 Issue 5, p783-797. 15p.

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14

Descriptive and Systematic Comparison of Clustering Methods in Microarray Data Analysis
Kim, S.Y.
KOREAN JOURNAL OF APPLIED STATISTICS. 22(1):89-106

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15

Clustering Algorithms and Other Exploratory Methods for Microarray Data Analysis
Rahnenfuhrer, J.
METHODS OF INFORMATION IN MEDICINE. 44(3):444-448

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16

A review of some parametric and non-parametric statistical methods in cDNA microarray data analysis
Ellingson, Leif ; Mansouri, Hossein ; Li, Bo ; et al.

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17

Machine Learning Methods for Microarray Data Analysis
Barnard, Jacobus ; Rodriguez, Jeffrey ; Hua, Hong ; et al.

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18

Necessity and usefulness of bioinformatic methods for microarray data analysis
Kestler, H. A. ; Kufer, R.
UROLOGE AUSGABE A.. 43(6):669-674

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19

Applications of Bayesian Statistical Methods in Microarray Data Analysis
Yang, D. ; Zakharkin, S. O. ; Page, G. P. ; et al.
AMERICAN JOURNAL OF PHARMACOGENOMICS. 4(1):53-62

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20

SED, a normalization free method for DNA microarray data analysis.
Wang H ; Huang H
Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE

Central Nervous System N... Female Gene Expression Regulati... Genes, Neoplasm genetics Humans Leukemia classification …
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