[PDF][PDF] OncoLnc: linking TCGA survival data to mRNAs, miRNAs, and lncRNAs
J Anaya - PeerJ Computer Science, 2016 - peerj.com
OncoLnc is a tool for interactively exploring survival correlations, and for downloading
clinical data coupled to expression data for mRNAs, miRNAs, or long noncoding RNAs …
clinical data coupled to expression data for mRNAs, miRNAs, or long noncoding RNAs …
[HTML][HTML] UALCAN: a portal for facilitating tumor subgroup gene expression and survival analyses
DS Chandrashekar, B Bashel, SAH Balasubramanya… - Neoplasia, 2017 - Elsevier
Abstract Genomics data from The Cancer Genome Atlas (TCGA) project has led to the
comprehensive molecular characterization of multiple cancer types. The large sample …
comprehensive molecular characterization of multiple cancer types. The large sample …
[HTML][HTML] An integrated TCGA pan-cancer clinical data resource to drive high-quality survival outcome analytics
J Liu, T Lichtenberg, KA Hoadley, LM Poisson… - Cell, 2018 - cell.com
Summary For a decade, The Cancer Genome Atlas (TCGA) program collected
clinicopathologic annotation data along with multi-platform molecular profiles of more than …
clinicopathologic annotation data along with multi-platform molecular profiles of more than …
[HTML][HTML] The Cancer Genome Atlas Clinical Explorer: a web and mobile interface for identifying clinical–genomic driver associations
HJ Lee, J Palm, SM Grimes, HP Ji - Genome medicine, 2015 - Springer
Abstract Background The Cancer Genome Atlas (TCGA) project has generated genomic
data sets covering over 20 malignancies. These data provide valuable insights into the …
data sets covering over 20 malignancies. These data provide valuable insights into the …
[PDF][PDF] ONGene: A literature-based database for human oncogenes
Liu, Y., Zhao, M., 2016. lnCaNet: pan-cancer co-expression network for human lncRNA and
cancer genes. Bioinformatics 32, 1595-1597. Lu, Z., Cohen, KB, Hunter, L., 2007. GeneRIF …
cancer genes. Bioinformatics 32, 1595-1597. Lu, Z., Cohen, KB, Hunter, L., 2007. GeneRIF …
[HTML][HTML] Exploring TCGA pan-cancer data at the UCSC cancer genomics browser
Abstract The UCSC Cancer Genomics Browser (https://genome-cancer. ucsc. edu) offers
interactive visualization and exploration of TCGA genomic, phenotypic and clinical data, as …
interactive visualization and exploration of TCGA genomic, phenotypic and clinical data, as …
Translating cancer 'omics' to improved outcomes
The genomics era has yielded great advances in the understanding of cancer biology. At the
same time, the immense complexity of the cancer genome has been revealed, as well as a …
same time, the immense complexity of the cancer genome has been revealed, as well as a …
[HTML][HTML] UALCAN: An update to the integrated cancer data analysis platform
Cancer genomic, transcriptomic, and proteomic profiling has generated extensive data that
necessitate the development of tools for its analysis and dissemination. We developed …
necessitate the development of tools for its analysis and dissemination. We developed …
[HTML][HTML] PROGgene: gene expression based survival analysis web application for multiple cancers
CP Goswami, H Nakshatri - Journal of clinical bioinformatics, 2013 - Springer
Background Identification of prognostic mRNA biomarkers has been done for various cancer
types. The data that are published from such studies are archived in public repositories …
types. The data that are published from such studies are archived in public repositories …
Translating cancer genomes and transcriptomes for precision oncology
S Roychowdhury… - CA: a cancer journal for …, 2016 - Wiley Online Library
Understanding the molecular landscape of cancer has facilitated the development of
diagnostic, prognostic, and predictive biomarkers for clinical oncology. Developments in …
diagnostic, prognostic, and predictive biomarkers for clinical oncology. Developments in …