Unsupervised reduction of the dimensionality followed by supervised learning with a perceptron improves the classification of conditions in DNA microarray gene expression data Submitted by iguillen on Tue, 06/25/2019 - 10:03 Conde L, Mateos A, Herrero J, Dopazo J. Unsupervised reduction of the dimensionality followed by supervised learning with a perceptron improves the classification of conditions in DNA microarray gene expression data. In: Neural Networks for Signal Processing XII. 2002 IEEE Signal Processing Society WorkshopProceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing. Neural Networks for Signal Processing XII. 2002 IEEE Signal Processing Society WorkshopProceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing. Martigny, Switzerland: IEEE; 2002. doi:10.1109/NNSP.2002.1030019.
PyCellBase, an efficient python package for easy retrieval of biological data from heterogeneous sources. Submitted by iguillen on Tue, 06/25/2019 - 10:00 Perez-Gil D, Lopez FJ, Dopazo J, Marin-Garcia P, Rendon A, Medina I. PyCellBase, an efficient python package for easy retrieval of biological data from heterogeneous sources. BMC Bioinformatics. 2019;20(1):159. doi:10.1186/s12859-019-2726-4.
Fibroblast activation and abnormal extracellular matrix remodelling as common hallmarks in three cancer-prone genodermatoses. Submitted by iguillen on Tue, 06/25/2019 - 09:57 Chacón-Solano E, León C, Díaz F, et al. Fibroblast activation and abnormal extracellular matrix remodelling as common hallmarks in three cancer-prone genodermatoses. Br J Dermatol. 2019;181(3):512-522. doi:10.1111/bjd.17698.
Functional genomics of 5- to 8-cell stage human embryos by blastomere single-cell cDNA analysis. Submitted by iguillen on Tue, 06/18/2019 - 13:14 Galan A, Montaner D, M Póo E, et al. Functional genomics of 5- to 8-cell stage human embryos by blastomere single-cell cDNA analysis. PLoS One. 2010;5(10):e13615. doi:10.1371/journal.pone.0013615.
Functional genomics and networks: new approaches in the extraction of complex gene modules. Submitted by iguillen on Tue, 06/18/2019 - 13:13 Minguez P, Dopazo J. Functional genomics and networks: new approaches in the extraction of complex gene modules. Expert Rev Proteomics. 2010;7(1):55-63. doi:10.1586/epr.09.103.
Exploring the link between germline and somatic genetic alterations in breast carcinogenesis. Submitted by iguillen on Tue, 06/18/2019 - 13:11 Bonifaci N, Górski B, Masojć B, et al. Exploring the link between germline and somatic genetic alterations in breast carcinogenesis. PLoS One. 2010;5(11):e14078. doi:10.1371/journal.pone.0014078.
ETE: a python Environment for Tree Exploration. Submitted by iguillen on Tue, 06/18/2019 - 13:09 Huerta-Cepas J, Dopazo J, Gabaldón T. ETE: a python Environment for Tree Exploration. BMC Bioinformatics. 2010;11:24. doi:10.1186/1471-2105-11-24.
DNA methylation epigenotypes in breast cancer molecular subtypes. Submitted by iguillen on Tue, 06/18/2019 - 12:44 Bediaga NG, Acha-Sagredo A, Guerra I, et al. DNA methylation epigenotypes in breast cancer molecular subtypes. Breast Cancer Res. 2010;12(5):R77. doi:10.1186/bcr2721.
The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models Submitted by iguillen on Tue, 06/18/2019 - 12:25 The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nature Biotechnology. 2010;28(8):827 - 838. doi:10.1038/nbt.1665.
Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes. Submitted by iguillen on Tue, 06/18/2019 - 12:21 Shi W, Bessarabova M, Dosymbekov D, et al. Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes. Pharmacogenomics J. 2010;10(4):310-23. doi:10.1038/tpj.2010.35.
