An integrated view of copy number and allelic alterations in the cancer genome using single nucleotide polymorphism arrays
Abstract Changes in DNA copy number contribute to cancer pathogenesis. We now show
that high-density single nucleotide polymorphism (SNP) arrays can detect copy number …
that high-density single nucleotide polymorphism (SNP) arrays can detect copy number …
A robust algorithm for copy number detection using high-density oligonucleotide single nucleotide polymorphism genotyping arrays
Y Nannya, M Sanada, K Nakazaki, N Hosoya, L Wang… - Cancer research, 2005 - AACR
We have developed a robust algorithm for copy number analysis of the human genome
using high-density oligonucleotide microarrays containing 116,204 single-nucleotide …
using high-density oligonucleotide microarrays containing 116,204 single-nucleotide …
Image classification by a two-dimensional hidden Markov model
For block-based classification, an image is divided into blocks, and a feature vector is
formed for each block by grouping statistics extracted from the block. Conventional block …
formed for each block by grouping statistics extracted from the block. Conventional block …
Handwritten document image segmentation into text lines and words
Two novel approaches to extract text lines and words from handwritten document are
presented. The line segmentation algorithm is based on locating the optimal succession of …
presented. The line segmentation algorithm is based on locating the optimal succession of …
Highly sensitive method for genomewide detection of allelic composition in nonpaired, primary tumor specimens by use of Affymetrix single-nucleotide–polymorphism …
G Yamamoto, Y Nannya, M Kato, M Sanada… - The American Journal of …, 2007 - cell.com
Loss of heterozygosity (LOH), either with or without accompanying copy-number loss, is a
cardinal feature of cancer genomes that is tightly linked to cancer development. However …
cardinal feature of cancer genomes that is tightly linked to cancer development. However …
Anomaly intrusion detection method based on HMM
Y Qiao, XW Xin, Y Bin, S Ge - Electronics letters, 2002 - search.proquest.com
An anomaly intrusion detection method based on HMM, is presented. The system call trace
of a UNIX privileged process is passed to an HMM to obtain state transition sequences …
of a UNIX privileged process is passed to an HMM to obtain state transition sequences …
Dynamic gesture recognition from stereo sequences
AV Nefian, R Grzesczuk, V Eruhimov - US Patent 7,274,800, 2007 - Google Patents
US7274800B2 - Dynamic gesture recognition from stereo sequences - Google Patents
US7274800B2 - Dynamic gesture recognition from stereo sequences - Google Patents Dynamic …
US7274800B2 - Dynamic gesture recognition from stereo sequences - Google Patents Dynamic …
Unsupervised learning for crowdsourced indoor localization in wireless networks
Wireless Local Area Network (WLAN) location fingerprinting has become a prevalent
approach to indoor localization. However, its widespread adoption has been hindered by …
approach to indoor localization. However, its widespread adoption has been hindered by …
[HTML][HTML] Robust speech recognition system using conventional and hybrid features of MFCC, LPCC, PLP, RASTA-PLP and hidden Markov model classifier in noisy …
VZ Këpuska, HA Elharati - Journal of Computer and Communications, 2015 - scirp.org
In recent years, the accuracy of speech recognition (SR) has been one of the most active
areas of research. Despite that SR systems are working reasonably well in quiet conditions …
areas of research. Despite that SR systems are working reasonably well in quiet conditions …
[图书][B] Computational intelligence in biomedical engineering
As in many other fields, biomedical engineers benefit from the use of computational
intelligence (CI) tools to solve complex and non-linear problems. The benefits could be even …
intelligence (CI) tools to solve complex and non-linear problems. The benefits could be even …