Getty

Précis of the Lectures on Architecture with Graphic Portion of the Lectures on Architecture

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Nature

Navigating gene expression using microarrays — a technology review

The use of microarrays to analyse gene expression on a global level has recently received a great deal of attention. There has been much speculation about the power of this approach in the analysis of ...
C&EN

Microarray and Mass Spectrometry-Based Methodology for Lipid Profiling of Tissues and Cell Cultures

Department of Physical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena S/N, Leioa 48940, Spain Article Views are the COUNTER-compliant sum of ...
University of Vermont

Presidential Lecture Series

Each academic year, the University of Vermont explores an aspect of today’s society through several components of its Presidential Lecture Series. Each lecture, made possible by endowments from ...
C&EN

Biomolecular-Motor-Based Nano- or Microscale Particle Translocations on DNA Microarrays

Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo 153-8902, Japan, Research Laboratories, NTT DOCOMO, Inc., Kanagawa 239-8536, Japan, and Center for ...
Nature

Options available—from start to finish—for obtaining data from DNA microarrays II

We reviewed the options for the manufacture and use of DNA microarrays in the original Chipping Forecast 1 in 1999. Since then, the number of companies that produce microarrays equipment and reagents ...
IEEE

Statistical Analysis of Microarray Data Clustering using NMF, Spectral Clustering, Kmeans, and GMM

Abstract: In unsupervised learning literature, the study of clustering using microarray gene expression datasets has been extensively conducted with nonnegative matrix factorization (NMF), spectral ...
IEEE

A Comprehensive Survey of Recent Hybrid Feature Selection Methods in Cancer Microarray Gene Expression Data

Abstract: In the diagnosis and treatment of cancer, cancer classification is a vital issue. Gene selection is much needed to solve the high dimensionality issue in microarray data, small sample size, ...