Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells

D Ramsköld, S Luo, YC Wang, R Li, Q Deng… - Nature …, 2012 - nature.com
Genome-wide transcriptome analyses are routinely used to monitor tissue-, disease-and cell
type–specific gene expression, but it has been technically challenging to generate …

CTCF-promoted RNA polymerase II pausing links DNA methylation to splicing

S Shukla, E Kavak, M Gregory, M Imashimizu… - Nature, 2011 - nature.com
Alternative splicing of pre-messenger RNA is a key feature of transcriptome expansion in
eukaryotic cells, yet its regulation is poorly understood. Spliceosome assembly occurs co …

Singular value decomposition and principal component analysis

ME Wall, A Rechtsteiner, LM Rocha - A practical approach to microarray …, 2003 - Springer
One of the challenges of bioinformatics is to develop effective ways to analyze global gene
expression data. A rigorous approach to gene expression analysis must involve an up-front …

DNA microarrays: experimental issues, data analysis, and application to bacterial systems

Y Dharmadi, R Gonzalez - Biotechnology progress, 2004 - Wiley Online Library
DNA microarrays are currently used to study the transcriptional response of many organisms
to genetic and environmental perturbations. Although there is much room for improvement of …

[КНИГА][B] Exploratory data analysis with MATLAB

WL Martinez, AR Martinez, J Solka - 2017 - api.taylorfrancis.com
Praise for the Second Edition:" The authors present an intuitive and easy-to-read book.…
accompanied by many examples, proposed exercises, good references, and …

Migraine with aura detection and subtype classification using machine learning algorithms and morphometric magnetic resonance imaging data

K Mitrović, I Petrušić, A Radojičić, M Daković… - Frontiers in …, 2023 - frontiersin.org
Introduction Migraine with aura (MwA) is a neurological condition manifested in moderate to
severe headaches associated with transient visual and somatosensory symptoms, as well …

[HTML][HTML] Reconstruction of a low-rank matrix in the presence of Gaussian noise

AA Shabalin, AB Nobel - Journal of Multivariate Analysis, 2013 - Elsevier
This paper addresses the problem of reconstructing a low-rank signal matrix observed with
additive Gaussian noise. We first establish that, under mild assumptions, one can restrict …

Probabilistic assembly of human protein interaction networks from label-free quantitative proteomics

ME Sardiu, Y Cai, J **, SK Swanson… - Proceedings of the …, 2008 - pnas.org
Large-scale affinity purification and mass spectrometry studies have played important roles
in the assembly and analysis of comprehensive protein interaction networks for lower …

A combinational feature selection and ensemble neural network method for classification of gene expression data

B Liu, Q Cui, T Jiang, S Ma - BMC bioinformatics, 2004 - Springer
Background Microarray experiments are becoming a powerful tool for clinical diagnosis, as
they have the potential to discover gene expression patterns that are characteristic for a …

A comparison of feature selection and classification methods in DNA methylation studies using the Illumina Infinium platform

J Zhuang, M Widschwendter, AE Teschendorff - BMC bioinformatics, 2012 - Springer
Abstract Background The 27k Illumina Infinium Methylation Beadchip is a popular high-
throughput technology that allows the methylation state of over 27,000 CpGs to be assayed …