What is principal component analysis?
M Ringnér - Nature biotechnology, 2008 - nature.com
What is principal component analysis? | Nature Biotechnology Skip to main content Thank
you for visiting nature.com. You are using a browser version with limited support for CSS. To …
you for visiting nature.com. You are using a browser version with limited support for CSS. To …
Biology of gastrointestinal stromal tumors
CL Corless, JA Fletcher, MC Heinrich - Journal of Clinical Oncology, 2004 - ascopubs.org
Once a poorly defined pathologic oddity, in recent years, gastrointestinal stromal tumor
(GIST) has emerged as a distinct oncogenetic entity that is now center stage in clinical trials …
(GIST) has emerged as a distinct oncogenetic entity that is now center stage in clinical trials …
[HTML][HTML] Convolutional neural network models for cancer type prediction based on gene expression
Background Precise prediction of cancer types is vital for cancer diagnosis and therapy.
Through a predictive model, important cancer marker genes can be inferred. Several studies …
Through a predictive model, important cancer marker genes can be inferred. Several studies …
[HTML][HTML] Nuclear expression of STAT6 distinguishes solitary fibrous tumor from histologic mimics
Solitary fibrous tumor (SFT) is composed of spindled to ovoid cells in a patternless
architecture with prominent stromal collagen and hemangiopericytoma-like vessels. Some …
architecture with prominent stromal collagen and hemangiopericytoma-like vessels. Some …
NCCN Task Force report: update on the management of patients with gastrointestinal stromal tumors
GD Demetri, M Von Mehren, CR Antonescu… - Journal of the National …, 2010 - jnccn.org
Background Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal
tumors of the gastrointestinal tract. Neoplastic GIST cells seem to arise from a common …
tumors of the gastrointestinal tract. Neoplastic GIST cells seem to arise from a common …
Adjusting batch effects in microarray expression data using empirical Bayes methods
WE Johnson, C Li, A Rabinovic - Biostatistics, 2007 - academic.oup.com
Non-biological experimental variation or “batch effects" are commonly observed across
multiple batches of microarray experiments, often rendering the task of combining data from …
multiple batches of microarray experiments, often rendering the task of combining data from …
Repeated observation of breast tumor subtypes in independent gene expression data sets
Characteristic patterns of gene expression measured by DNA microarrays have been used
to classify tumors into clinically relevant subgroups. In this study, we have refined the …
to classify tumors into clinically relevant subgroups. In this study, we have refined the …
Recurrent Fusion of TMPRSS2 and ETS Transcription Factor Genes in Prostate Cancer
Recurrent chromosomal rearrangements have not been well characterized in common
carcinomas. We used a bioinformatics approach to discover candidate oncogenic …
carcinomas. We used a bioinformatics approach to discover candidate oncogenic …
Revisiting the nystrom method for improved large-scale machine learning
We reconsider randomized algorithms for the low-rank approximation of SPSD matrices
such as Laplacian and kernel matrices that arise in data analysis and machine learning …
such as Laplacian and kernel matrices that arise in data analysis and machine learning …
[HTML][HTML] Incidence of sarcoma histotypes and molecular subtypes in a prospective epidemiological study with central pathology review and molecular testing
F Ducimetière, A Lurkin, D Ranchère-Vince… - PloS one, 2011 - journals.plos.org
Background The exact overall incidence of sarcoma and sarcoma subtypes is not known.
The objective of the present population-based study was to determine this incidence in a …
The objective of the present population-based study was to determine this incidence in a …