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"This book describes the complex interplay of epigenetic regulatory mechanisms, and shows how these carefully orchestrated processes can go wrong, resulting in epigenetic reprogramming of the cells that may manifest in pathological changes. "

"This Pocket Companion to Robbins and Cotran Pathologic Basis of Disease, 8th Edition offers rapid, portable access to the most important pathology facts and concepts. Richard Mitchell, MD, PhD, Vinay Kumar, MBBS, MD, FRCPath, Nelson Fausto, MD, Abul K. Abbas, MBBS, and Jon Aster, MD assemble all of the key data and principles of pathology in a concise, at-a-glance format and fit them into your pocket for quick reference anytime. The result is a superb source for quick answers and an efficient review tool on any aspect of pathology. Assembles all of the key data and principles you need to know for exams and rotations. Presents information in a concise, at-a-glance format. Fits into your pocket, for a convenient reference any time. Offers abundant page references to the parent text, making additional information easy to find."

"Penelitian ini bertujuan untuk mencari gen terdiferensiasi dan informasi biologis dari data ekspresi gen penyakit Alzheimer. Data yang digunakan merupakan data microarray penyakit Alzheimer yang berukuran 54675 peobes × 161 sampel. Data tersebut diperoleh dari National Centre for Biotechnology Information (NCBI) yang dapat diakses melalui laman: http://www.ncbi/nlm.nih.gov/. Gen yang memiliki ekspresi terdiferensiasi diseleksi menggunakan algoritma Delta Relative Deviation dan Absolute Deviation (DARDAD). 7089 gen dengan ekspresi terdiferensiasi pada sampel sakit selanjutnya dianalisis menggunakan metode biclustering. Bicluster didapatkan dengan menggunakan model BicMix yang memodelkan matriks ekspresi gen sebagai perkalian dua parameter ditambah matriks eror. Hasil faktorisasi dari Singular Value Decomposition (SVD) digunakan untuk menginisialisasi proses estimasi parameter model BicMix menggunakan metode iteratif Variational Expectation Maximization (VEM). Hasil bicluster selanjutnya dianalisis menggunakan Gene Ontology dan Disease Ontology. Didapatkan 30 bicluster dan beberapa penyakit yang berkaitan dengan penyakit Alzheimer.

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The purpose of this research is to find genes that differentially expressed and biologic information from Alzheimer's gene expression data. Microarray data of Alzheimer's disease with 54675 probes × 161 samples were used in this research. Data downloaded from National Centre for Biotechnology Information (NCBI), http://www.ncbi/nlm.nih.gov/. Delta Relative Deviation and Absolute Deviation (DARDAD) were used to find differentially expressed genes. 7089 differentially expressed genes then analyzed using biclustering method with BicMix model. BicMix modeled gene expression matrix data as multiplication two parameters and an error matrix. Parameters in the model estimated using Singular Value Decomposition (SVD) - Variational Expectation Expectation Maximization (VEM). Bicluster result then analyzed using Gene Ontology and Disease Ontology. Result of this research are 30 biclusters and disease that are active in Alzheimer."