Matematiniai straipsniai

Tinklų analizė

Getting connected: analysis and principles of biological networks

1. Xiaowei Zhu1,2,
2. Mark Gerstein3, and
3. Michael Snyder1,2,4

http://genesdev.cshlp.org/content/21/9/1010.full


http://www.sciencemag.org/cgi/content/full/286/5439/531


Matematiniai straipsniai skirti piktybinių susirgimų klasifikavimui molekuliniame lygyje pagal 1999 m Golub etc straipsnį

2
Reducing the algorithmic variability in transcriptome-based inference.
S. Tuna and M. Niranjan (2010)
Bioinformatics 26, 1185-1191
 |  Abstract »  |  Full Text »  |  PDF »
5
Exploring the within- and between-class correlation distributions for tumor classification.
X. Wei and K. C. Li (2010)
PNAS 107, 6737-6742
 |  Abstract »  |  Full Text »  |  PDF »
6
Bayesian approach to transforming public gene expression repositories into disease diagnosis databases.
H. Huang, C. C. Liu, and X. J. Zhou (2010)
PNAS 107, 6823-6828
 |  Abstract »  |  Full Text »  |  PDF »
9
Robust depth-based tools for the analysis of gene expression data.
S. Lopez-Pintado, J. Romo, and A. Torrente (2010)
Biostat. 11, 254-264
 |  Abstract »  |  Full Text »  |  PDF »
12
The maximal data piling direction for discrimination.
J. Ahn and J. S. Marron (2010)
Biometrika 97, 254-259
 |  Abstract »  |  PDF »
13
Bayesian rule learning for biomedical data mining.
V. Gopalakrishnan, J. L. Lustgarten, S. Visweswaran, and G. F. Cooper (2010)
Bioinformatics 26, 668-675
 |  Abstract »  |  Full Text »  |  PDF »
14
Penalized mixtures of factor analyzers with application to clustering high-dimensional microarray data.
B. Xie, W. Pan, and X. Shen (2010)
Bioinformatics 26, 501-508
 |  Abstract »  |  Full Text »  |  PDF »
15
Functional embedding for the classification of gene expression profiles.
P.-S. Wu and H.-G. Muller (2010)
Bioinformatics 26, 509-517
 |  Abstract »  |  Full Text »  |  PDF »
17
Survival analysis with high-dimensional covariates.
D. M Witten and R. Tibshirani (2010)
Statistical Methods in Medical Research 19, 29-51
 |  Abstract »  |  PDF »
19
Robust biomarker identification for cancer diagnosis with ensemble feature selection methods.
T. Abeel, T. Helleputte, Y. Van de Peer, P. Dupont, and Y. Saeys (2010)
Bioinformatics 26, 392-398
 |  Abstract »  |  Full Text »  |  PDF »
20
Dynamically weighted clustering with noise set.
Y. Shen, W. Sun, and K.-C. Li (2010)
Bioinformatics 26, 341-347
 |  Abstract »  |  Full Text »  |  PDF »
21
Accessible Reproducible Research.
J. P. Mesirov (2010)
Science 327, 415-416
 |  Abstract »  |  Full Text »  |  PDF »
23
Bayesian variable selection for disease classification using gene expression data.
Y. Ai-Jun and S. Xin-Yuan (2010)
Bioinformatics 26, 215-222
 |  Abstract »  |  Full Text »  |  PDF »
24
MIRAGAA--a methodology for finding coordinated effects of microRNA expression changes and genome aberrations in cancer.
R. K. Gaire, J. Bailey, J. Bearfoot, I. G. Campbell, P. J. Stuckey, and I. Haviv (2010)
Bioinformatics 26, 161-167
 |  Abstract »  |  Full Text »  |  PDF »
25
Advances in translational bioinformatics: computational approaches for the hunting of disease genes.
M. G. Kann (2010)
Brief Bioinform 11, 96-110
 |  Abstract »  |  Full Text »  |  PDF »
26
Advances in metaheuristics for gene selection and classification of microarray data.
B. Duval and J.-K. Hao (2010)
Brief Bioinform 11, 127-141
 |  Abstract »  |  Full Text »  |  PDF »
28
Multiple testing and its applications to microarrays.
Yongchao Ge, S. C Sealfon, and T. P Speed (2009)
Statistical Methods in Medical Research 18, 543-563
 |  Abstract »  |  PDF »
31
Feature selection by higher criticism thresholding achieves the optimal phase diagram.
D. Donoho and J. Jin (2009)
Phil Trans R Soc A 367, 4449-4470
 |  Abstract »  |  Full Text »  |  PDF »
36
Variable selection and dependency networks for genomewide data.
A. Dobra (2009)
Biostat. 10, 621-639
 |  Abstract »  |  Full Text »  |  PDF »
43
QUBIC: a qualitative biclustering algorithm for analyses of gene expression data.
G. Li, Q. Ma, H. Tang, A. H. Paterson, and Y. Xu (2009)
Nucleic Acids Res. 37, e101
 |  Abstract »  |  Full Text »  |  PDF »
56
A roadmap of clustering algorithms: finding a match for a biomedical application.
B. Andreopoulos, A. An, X. Wang, and M. Schroeder (2009)
Brief Bioinform 10, 297-314
 |  Abstract »  |  Full Text »  |  PDF »
62
Identification of differential gene pathways with principal component analysis.
S. Ma and M. R. Kosorok (2009)
Bioinformatics 25, 882-889
 |  Abstract »  |  Full Text »  |  PDF »
72
A genetic programming-based approach to the classification of multiclass microarray datasets.
K.-H. Liu and C.-G. Xu (2009)
Bioinformatics 25, 331-337
 |  Abstract »  |  Full Text »  |  PDF »
83
Higher criticism thresholding: Optimal feature selection when useful features are rare and weak.
D. Donoho and J. Jin (2008)
PNAS 105, 14790-14795
 |  Abstract »  |  Full Text »  |  PDF »
85
Penalized feature selection and classification in bioinformatics.
S. Ma and J. Huang (2008)
Brief Bioinform 9, 392-403
 |  Abstract »  |  Full Text »  |  PDF »