Abstract In the past decade, over 3000 samples of soybean transcriptomic data have accumulated in public repositories. Here, we review state art transcriptomics, highlighting major microarray and RNA-seq studies that investigated transcriptional programs different tissues conditions. Further, propose approaches for integrating such big using gene coexpression network outline important web resou...

Over the past few years, tissue microarray (TMA) technology has been established as a standard method for assessing the expression of proteins or genes across large sets of tissue specimens. It is being adopted increasingly among leading research institutions around the world and utilized in cancer research in parallel with the cDNA microarray technology. This article summarizes various aspects...

Classification of microarray datasets has drawn attention of research community in last few years. Microarray datasets are characterized by high dimension and small sample size. To avoid curse of dimensionality good gene selection methods are needed. Here, we propose a two stage algorithm MICE for finding a small subset of relevant genes responsible for classification of high dimensional microa...

Microarray technologies are state of the art in biological research, which requires fast genome, proteome and transcriptome analysis technologies. Often antibodies are applied in protein microarrays as proteomic tools. Since the generation of antibodies against toxic targets or small molecules including organic compounds remains challenging the use of antibodies may be limited in this context. ...

S. FERRAINA, P. B. JOHNSON, M. R. GARASTO, A. BATTAGLIA-MAYER, L. ERCOLANI, L. BIANCHI, F. LACQUANITI, AND R. CAMINITI Istituto di Fisiologia umana, Università di Roma ‘‘La Sapienza,’’ 00185 Rome, Italy; Division of Neurosurgery, Duke University Medical Center, Durham NC 27710; Istituto Scientifico S. Lucia, Istituto di Neurofisiologia e Bioimmagini-Consiglio Nazionale delle Ricerche, 00179 Rom...