PCA-HPR: A principle component analysis model for human promoter recognition

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

PCA-HPR: A principle component analysis model for human promoter recognition

We describe a promoter recognition method named PCA-HPR to locate eukaryotic promoter regions and predict transcription start sites (TSSs). We computed codon (3-mer) and pentamer (5-mer) frequencies and created codon and pentamer frequency feature matrices to extract informative and discriminative features for effective classification. Principal component analysis (PCA) is applied to the featur...

متن کامل

AnG-HPR: Analysis of n-Gram based human Promoter Recognition

We describe a promoter recognition method named An-HPR to locate eukaryotic promoter regions and predict transcription start sites (TSSs). We computed n-gram features are extracted and used in promoter prediction. We computed n-grams (n=2, 3, 4, 5) as features and created frequency features to extract informative and discriminative features for effective classification. Neural network classifie...

متن کامل

Facial Expression Recognition using Local Gabor Binary Pattern(LGBP) and Principle Component Analysis (PCA)

Facial Expression Recognition is one of the active research area in the field of Human Machine Interaction (HMI) because of its several applications such as human emotion analysis, stress level and lie detection. In this paper, an algorithm for facial expression recognition has been proposed which integrate the Local Binary Patterns (LBP), Gabor filter and Principal Component Analysis (PCA). Th...

متن کامل

Human Promoter Recognition Based on Principal Component Analysis

....................................................................................................................... II Chapter

متن کامل

Face Recognition using Principle Component Analysis

The Principal Component Analysis (PCA) is one of the most successful techniques that have been used in image recognition and compression. PCA is a statistical method under the broad title of factor analysis. The purpose of PCA is to reduce the large dimensionality of the data space (observed variables) to the smaller intrinsic dimensionality of feature space (independent variables), which are n...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Bioinformation

سال: 2008

ISSN: 0973-8894,0973-2063

DOI: 10.6026/97320630002373