-
1
-
-
4644309196
-
The functions of animal microRNAs
-
Ambros, V. 2004. The functions of animal microRNAs. Nature, 431:350-5.
-
(2004)
Nature
, vol.431
, pp. 350-355
-
-
Ambros, V.1
-
2
-
-
0347444723
-
MicroRNAs: Genomics, biogenesis, mechanism, and function
-
Bartel, D. 2004. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell., 116:281-97.
-
(2004)
Cell
, vol.116
, pp. 281-297
-
-
Bartel, D.1
-
3
-
-
0027751663
-
The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14
-
Lee, R.C. et al. 1993. The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14. Cell., 75:843-54.
-
(1993)
Cell
, vol.75
, pp. 843-854
-
-
Lee, R.C.1
-
4
-
-
0034708122
-
The 21-nucleotide let-7 RNA regulates developmental timing in Caenorhabditis elegans
-
Reinhart, B. et al. 2000. The 21-nucleotide let-7 RNA regulates developmental timing in Caenorhabditis elegans. Nature, 403:901-6.
-
(2000)
Nature
, vol.403
, pp. 901-906
-
-
Reinhart, B.1
-
5
-
-
0038825783
-
-
Lai, E.C. et al. 2003. Computational identification of Drosophila microRNA genes. Genome Biology, 4:R.42.
-
Lai, E.C. et al. 2003. Computational identification of Drosophila microRNA genes. Genome Biology, 4:R.42.
-
-
-
-
6
-
-
0037447334
-
The microRNAs of Caenorhabditis elegans
-
Lim, L.P. et al. 2003. The microRNAs of Caenorhabditis elegans. Genes and Development, 17:991-1008.
-
(2003)
Genes and Development
, vol.17
, pp. 991-1008
-
-
Lim, L.P.1
-
7
-
-
0037423845
-
Vertebrate microRNA genes
-
Lim, L.P. et al. 2003. Vertebrate microRNA genes. Science, 299:1540.
-
(2003)
Science
, vol.299
, pp. 1540
-
-
Lim, L.P.1
-
8
-
-
33644750115
-
miRBase: MicroRNA sequences, targets and gene nomenclature
-
Griffiths-Jones, S. et al. 2006. miRBase: microRNA sequences, targets and gene nomenclature. NAR., 34:D140-144.
-
(2006)
NAR
, vol.34
-
-
Griffiths-Jones, S.1
-
9
-
-
11844278458
-
Conserved seed pairing, often flanked by adenosine, indicates that thousands of human Genes are microRNA targets
-
Lewis, B. et al. 2005. Conserved seed pairing, often flanked by adenosine, indicates that thousands of human Genes are microRNA targets. Cell., 120:15-20.
-
(2005)
Cell
, vol.120
, pp. 15-20
-
-
Lewis, B.1
-
10
-
-
20444467290
-
A microRNA polycistron as a potential human oncogene
-
He, L. et al. 2005. A microRNA polycistron as a potential human oncogene. Nature, 435:828-33.
-
(2005)
Nature
, vol.435
, pp. 828-833
-
-
He, L.1
-
11
-
-
20444479428
-
c-Myc-regulated microRNAs modulate E2F1 expression
-
O'Donnell, K.A. et al. 2005. c-Myc-regulated microRNAs modulate E2F1 expression. Nature, 435:839-43.
-
(2005)
Nature
, vol.435
, pp. 839-843
-
-
O'Donnell, K.A.1
-
12
-
-
0034614637
-
The hallmarks of cancer
-
Hanahan, D. and Weinberg, R.A. 2000. The hallmarks of cancer. Cell., 100:57-70.
-
(2000)
Cell
, vol.100
, pp. 57-70
-
-
Hanahan, D.1
Weinberg, R.A.2
-
13
-
-
18244409687
-
Gene expression profiling predicts clinical outcome of breast cancer
-
van 't Veer, L.J. et al. 2002. Gene expression profiling predicts clinical outcome of breast cancer. Nature, 415:530-6.
-
(2002)
Nature
, vol.415
, pp. 530-536
-
-
van 't Veer, L.J.1
-
14
-
-
2442684455
-
Gene expression profiles and molecular markers to predict recurrence of Dukes' B. colon cancer
-
Wang, Y. et al. 2004. Gene expression profiles and molecular markers to predict recurrence of Dukes' B. colon cancer. Journal of Clinical Oncology, 22:1564-71.
-
(2004)
Journal of Clinical Oncology
, vol.22
, pp. 1564-1571
-
-
Wang, Y.1
-
15
-
-
32944465867
-
Unique gene expression profile based on pathologic response in epithelial ovarian cancer
-
Spentzos, D. et al. 2005. Unique gene expression profile based on pathologic response in epithelial ovarian cancer. Journal of Clinical Oncology, 23:7911-8.
-
(2005)
Journal of Clinical Oncology
, vol.23
, pp. 7911-7918
-
-
Spentzos, D.1
-
16
-
-
22244447065
-
Integration of gene expression profiling and clinical variables to predict prostate carcinoma recurrence after radical prostatectomy
-
Stephenson, A.J. et al. 2005. Integration of gene expression profiling and clinical variables to predict prostate carcinoma recurrence after radical prostatectomy. Cancer, 104:290-8.
-
(2005)
Cancer
, vol.104
, pp. 290-298
-
-
Stephenson, A.J.1
-
17
-
-
2642549937
-
Oncogenomics and the development of new cancer therapies
-
Strausberg, R.L. et al. 2004. Oncogenomics and the development of new cancer therapies. Nature, 429:469-74.
-
(2004)
Nature
, vol.429
, pp. 469-474
-
-
Strausberg, R.L.1
-
18
-
-
33747117743
-
Genomic platforms for cancer research: Potential diagnostic and prognostic applications in clinical oncology
-
Jares, P. and Campo, E. 2006. Genomic platforms for cancer research: potential diagnostic and prognostic applications in clinical oncology. Clinical Translational Oncology, 8:161-72.
-
(2006)
Clinical Translational Oncology
, vol.8
, pp. 161-172
-
-
Jares, P.1
Campo, E.2
-
19
-
-
33344477448
-
Genomics of microRNA
-
Kim, V. and Nam, J. 2006. Genomics of microRNA. Trends in Genetics, 22:165-73.
-
(2006)
Trends in Genetics
, vol.22
, pp. 165-173
-
-
Kim, V.1
Nam, J.2
-
20
-
-
13944262052
-
A custom microarray platform for analysis of microRNA gene expression
-
Thomson, J. et al. 2004. A custom microarray platform for analysis of microRNA gene expression. Nature Methods, 1:47-53.
-
(2004)
Nature Methods
, vol.1
, pp. 47-53
-
-
Thomson, J.1
-
21
-
-
13944283031
-
Microarray-based, high-throughput gene expression profiling of microRNAs
-
Nelson, P. et al. 2004. Microarray-based, high-throughput gene expression profiling of microRNAs. Nature Methods, 1:155-161.
-
(2004)
Nature Methods
, vol.1
, pp. 155-161
-
-
Nelson, P.1
-
22
-
-
3042752769
-
An oligonucleotide microchip for genome-wide microRNA profiling in human and mouse tissues
-
Liu, C. et al. 2004. An oligonucleotide microchip for genome-wide microRNA profiling in human and mouse tissues. PNAS, 101:9740-4.
-
(2004)
PNAS
, vol.101
, pp. 9740-9744
-
-
Liu, C.1
-
23
-
-
20444460289
-
MicroRNA expression profiles classify human cancers
-
Lu, J. et al. 2005. MicroRNA expression profiles classify human cancers. Nature, 435:834-8.
-
(2005)
Nature
, vol.435
, pp. 834-838
-
-
Lu, J.1
-
24
-
-
33747876113
-
MicroRNA-cancer connection: The beginning of a new tale
-
Calin, G.A. and Croce, C.M. 2006. MicroRNA-cancer connection: The beginning of a new tale. Cancer Research, 66:7390-4.
-
(2006)
Cancer Research
, vol.66
, pp. 7390-7394
-
-
Calin, G.A.1
Croce, C.M.2
-
25
-
-
33751163757
-
MicroRNA expression and function in cancer
-
Garzon, R. et al. 2006. MicroRNA expression and function in cancer. Trends in Molecular Medicine, 12:580-7.
-
(2006)
Trends in Molecular Medicine
, vol.12
, pp. 580-587
-
-
Garzon, R.1
-
26
-
-
0032441150
-
Cluster analysis and display of genome-wide expression patterns
-
Eisen, M.B. et al. 1998. Cluster analysis and display of genome-wide expression patterns. PNAS, 95:14863-8.
-
(1998)
PNAS
, vol.95
, pp. 14863-14868
-
-
Eisen, M.B.1
-
27
-
-
0035979259
-
Bootstrapping cluster analysis: Assessing the reliability of conclusions from microarray experiments
-
Kerr, M.K. and Churchill, G. 2001. Bootstrapping cluster analysis: assessing the reliability of conclusions from microarray experiments. PNAS, 98:8961-5.
-
(2001)
PNAS
, vol.98
, pp. 8961-8965
-
-
Kerr, M.K.1
Churchill, G.2
-
28
-
-
0037172724
-
A prediction-based resampling method for estimating the number of clusters in a dataset
-
RESEARCH0036
-
Dudoit, S. and Fridlyand, J. 2002. A prediction-based resampling method for estimating the number of clusters in a dataset. Genome Biology, 3:RESEARCH0036.
-
(2002)
Genome Biology
, vol.3
-
-
Dudoit, S.1
Fridlyand, J.2
-
30
-
-
0038724494
-
Consensus clustering: A resampling-based method for Class discovery and visualization of gene expression microarray data
-
Monti, S. et al. 2003. Consensus clustering: A resampling-based method for Class discovery and visualization of gene expression microarray data. Machine Learning, 52:91-118.
-
(2003)
Machine Learning
, vol.52
, pp. 91-118
-
-
Monti, S.1
-
33
-
-
4544341015
-
Linear models and empirical Bayes methods for assessing differential expression in microarray experiments
-
3:Article3
-
Smyth, G.K. 2004. Linear models and empirical Bayes methods for assessing differential expression in microarray experiments. Statistical Applications in Genetics and Molecular Biology, 3:Article3.
-
(2004)
Statistical Applications in Genetics and Molecular Biology
-
-
Smyth, G.K.1
-
34
-
-
33745257048
-
The clustering of regression models method with applications to gene expression data
-
Qin, L.X. and Self, S.G. 2006. The clustering of regression models method with applications to gene expression data. Biometrics, 62:526-33.
-
(2006)
Biometrics
, vol.62
, pp. 526-533
-
-
Qin, L.X.1
Self, S.G.2
-
36
-
-
0037321349
-
New microRNAs from mouse and human
-
Lagos-Quintana, M. et al. 2003. New microRNAs from mouse and human. RNA, 9:175-9.
-
(2003)
RNA
, vol.9
, pp. 175-179
-
-
Lagos-Quintana, M.1
-
37
-
-
29144505309
-
The widespread impact of mammalian MicroRNAs on mRNA repression and evolution
-
Farh, K. et al. 2005. The widespread impact of mammalian MicroRNAs on mRNA repression and evolution. Science, 310:1817-21.
-
(2005)
Science
, vol.310
, pp. 1817-1821
-
-
Farh, K.1
-
38
-
-
18044377963
-
Principles of microRNA-target recognition
-
Brennecke, J. et al. 2005. Principles of microRNA-target recognition. PLoS Biol., 3:e85.
-
(2005)
PLoS Biol
, vol.3
-
-
Brennecke, J.1
-
39
-
-
49649102765
-
-
Enright, A.J. et al. 2003. MicroRNA target detection. Genome Biology, 5:R.1.
-
Enright, A.J. et al. 2003. MicroRNA target detection. Genome Biology, 5:R.1.
-
-
-
-
40
-
-
20944450160
-
Combinatorial microRNA target predictions
-
Krek, A. et al. 2005. Combinatorial microRNA target predictions. Nature Genetics, 37:495-500.
-
(2005)
Nature Genetics
, vol.37
, pp. 495-500
-
-
Krek, A.1
-
41
-
-
0346094457
-
Prediction of mammalian microRNA targets
-
Lewis, B. et al. 2003. Prediction of mammalian microRNA targets. Cell., 115:787-98.
-
(2003)
Cell
, vol.115
, pp. 787-798
-
-
Lewis, B.1
-
42
-
-
33750318273
-
A guide through present computational approaches for the identification of mammalian microRNA targets
-
Sethupathy, P. et al. 2006. A guide through present computational approaches for the identification of mammalian microRNA targets. Nature Methods, 3:881-6.
-
(2006)
Nature Methods
, vol.3
, pp. 881-886
-
-
Sethupathy, P.1
-
43
-
-
31044444975
-
TarBase: A comprehensive database of experimentally supported animal microRNA targets
-
Sethupathy, P. et al. 2006. TarBase: A comprehensive database of experimentally supported animal microRNA targets. RNA, 12:192-7.
-
(2006)
RNA
, vol.12
, pp. 192-197
-
-
Sethupathy, P.1
-
44
-
-
0042424602
-
Statistical significance for genome-wide studies
-
Storey, J.D. and Tibshirani, R. 2003. Statistical significance for genome-wide studies. PNAS, 100:9440-5.
-
(2003)
PNAS
, vol.100
, pp. 9440-9445
-
-
Storey, J.D.1
Tibshirani, R.2
-
45
-
-
20044395613
-
RAS is regulated by the let-7 microRNA family
-
Johnson, S.M. et al. 2005. RAS is regulated by the let-7 microRNA family. Cell., 120:635-647.
-
(2005)
Cell
, vol.120
, pp. 635-647
-
-
Johnson, S.M.1
-
46
-
-
22144461002
-
miRNAs, cancer, and stem cell division
-
Croce, C.M. and Calin, G.A. 2005. miRNAs, cancer, and stem cell division. Cell., 122:6-7.
-
(2005)
Cell
, vol.122
, pp. 6-7
-
-
Croce, C.M.1
Calin, G.A.2
|