Skip to Content
Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics
book

Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics

by Yi Pan, Jianxin Wang, Min Li
November 2013
Intermediate to advanced
536 pages
16h 4m
English
Wiley-IEEE Press
Content preview from Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics

Index

A_purva

Acid growth

ACO algorithm

Adaptive adjustment of relaxation parameter (AARP)

Aggregation

Alga

Algorithm

ant colony optimization (ACO)-based algorithm

CSVM algorithm

computational algorithms

DSSP algorithm

Edmonds–Gabow algorithm

feature selection algorithm

fuzzy C-means clutering algorithm

graph algorithm

greedy K-means clustering algorithm

geometry algorithm

GG algorithm

GSVM algorithm

heuristic algorithm

K-means clustering algorithm

linear discriminant algorithm

maximal clique algorithm

nearest-neighbor algorithm (NNA)

PPI network alignment algorithms

protein similarity algorithm

suffix tree construction algorithms

similarity algorithm

unsupervised clustering algorithm

Algorithmic method

Amino acid

properties

sidechains

Annotation

Ant colony optimization (ACO)

ANTH (AP180 N-terminal homology)

Application

Approximation handling

Arabidopsis thaliana

Arginine

Auxin binding protein

Auxin flow

Backbone

Backbone fluctuation

Background

BAR (Bin/Amphiphysin/Rvs)

Barriers

Basic category

Binding site

Biochemical

Biochemical reaction

Biocyc

Biofuel

Bioinformatics

Biological function

Biological network

Biological network domain

Biological network modeling

Biological process

Biological relevance

Biological sequences

Biosequences

Biosequences domain

Bisection method

Blockmaker

BLOSUM matrix

Bond

Boundary

Bounded treewidth

Breast cancer

Bryophytes

Bucket

C1

C2

Calcium

CATH

CE

Cell

Cell constituent

Cell elongation

Cell growth phase

Cell lifecycle

Cell metabolism

Cell motility

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Computational Intelligence and Pattern Analysis in Biological Informatics

Computational Intelligence and Pattern Analysis in Biological Informatics

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Jason T. Wang
Elements of Computational Systems Biology

Elements of Computational Systems Biology

Huma M. Lodhi, Stephen H. Muggleton

Publisher Resources

ISBN: 9781118567814Purchase book