A New Method for Retrieval Based on Relative Entropy with Smoothing

A NEW TECHNIQUE FOR SELECTING FEATURES FROM PROTEIN SEQUENCES

International Journal of Pattern Recognition and Artificial Intelligence ◽

10.1142/s021800140600465x ◽

2006 ◽

Vol 20 (02) ◽

pp. 271-283 ◽

Cited By ~ 4

Author(s):

XING-MING ZHAO ◽

JI-XIANG DU ◽

HONG-QIANG WANG ◽

YUNPING ZHU ◽

YIXUE LI

Keyword(s):

Support Vector Machine ◽

Relative Entropy ◽

Protein Sequences ◽

Entropy Method ◽

Experimental Results ◽

New Method ◽

Support Vector ◽

Svm Classifier ◽

A New Technique ◽

Relative Entropy Method

A new method for selecting features from protein sequences is proposed in this paper. First, the protein sequences are converted into fixed-dimensional feature vectors. Then, a subset of features is selected using relative entropy method and used as the inputs for Support Vector Machine (SVM). Finally, the trained SVM classifier is utilized to classify protein sequences into certain known protein families. Experimental results over proteins obtained from PIR database and GPCRs have shown that our proposed approach is really effective and efficient in selecting features from protein sequences.

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A new method to identify influential nodes based on relative entropy

Chaos Solitons & Fractals ◽

10.1016/j.chaos.2017.08.010 ◽

2017 ◽

Vol 104 ◽

pp. 257-267 ◽

Cited By ~ 24

Author(s):

Liguo Fei ◽

Yong Deng

Keyword(s):

Relative Entropy ◽

New Method ◽

Influential Nodes

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Selective Sampling and Orientation of Non-Homogeneous Tissues

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100100238 ◽

1968 ◽

Vol 26 ◽

pp. 98-99

Author(s):

C. C. Clawson ◽

L. W. Anderson ◽

R. A. Good

Keyword(s):

Electron Microscopy ◽

Electron Microscope ◽

Light Microscopy ◽

Random Sampling ◽

New Method ◽

Microscope Examination ◽

Small Areas ◽

Selective Sampling ◽

Large Numbers ◽

Specific Orientation

Investigations which require electron microscope examination of a few specific areas of non-homogeneous tissues make random sampling of small blocks an inefficient and unrewarding procedure. Therefore, several investigators have devised methods which allow obtaining sample blocks for electron microscopy from region of tissue previously identified by light microscopy of present here techniques which make possible: 1) sampling tissue for electron microscopy from selected areas previously identified by light microscopy of relatively large pieces of tissue; 2) dehydration and embedding large numbers of individually identified blocks while keeping each one separate; 3) a new method of maintaining specific orientation of blocks during embedding; 4) special light microscopic staining or fluorescent procedures and electron microscopy on immediately adjacent small areas of tissue.

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