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Bioinformatics II Theoretical Bioinformatics and Machine Learning (PDF 394)
This book covers the following topics: Machine Learning in Bioinformatics, Theoretical Background of Machine Learning, Support Vector Machines, Error Minimization and Model Selection, Neural Networks, Bayes Techniques, Feature Selection, Hidden Markov Models.
Author(s): Sepp Hochreiter
400 Pages 
Computational Biology Biostatistics
The topics of notes in this site are as follows : Introduction to Bioinformatics, Sequence Alignment, Probabilistic Sequence Models , Gene Expression Analysis, Protein Structure Prediction.
Author(s): Burr Settles
NA Pages
Foundations of Bioinformatics and Systems Biology
The contents in this site includes the following topics : The complete course is comprised of three modules covering Foundations of Bioinformatics, Statistics in Bioinformatics, Systems Biology. These modules holds the following contents : Introduction to bioinformatics, Sequence Alignment and Database Searching, Structural Bioinformatics, Genome Informatics: High Throughput Sequencing Applications and Analytical Methods, Approaches to statistical estimation and testing, Statistical estimation and hypothesis testing, Analyses involving associations, Pearson correlation, t-test, and log odds ratios, Linear regression, Regression models, Introduction to graphical methods for multivariate data analysis, Clustering and principal component analysis, Introduction to systems biology, Epigenome data mining to understand disease predisposition, Computational clinical decision support systems, Application of systems biology to translational medicine.
Author(s): University of Michigan
NA Pages
Bioinformatics II Theoretical Bioinformatics and Machine Learning (PDF 394)
This book covers the following topics: Machine Learning in Bioinformatics, Theoretical Background of Machine Learning, Support Vector Machines, Error Minimization and Model Selection, Neural Networks, Bayes Techniques, Feature Selection, Hidden Markov Models.
Author(s): Sepp Hochreiter
400 Pages
Online Lectures on Bioinformatics
This note covers the following topics: Biological preliminaries, Analysis of individual sequences, Pairwise sequence comparison, Algorithms for the comparison of two sequences, Variants of the dynamic programming algorithm, Practical Sections on Pairwise Alignments, Phylogenetic Trees and Multiple Alignments and Protein Structure.
Author(s): Max Planck Institute for Molecular Genetics
NA Pages
This note describes the computational challenges in structural biology and explains the computational methods for analysing and predicting macromolecular conformations and interactions and gives practice in programming techniques for structural bioinformatics.
Author(s): Graham Kemp and Per-Georg Nyholm
NA Pages
Introducing Bioinformatics Concepts in CS1
This note explains the basic bioinformatics concepts via a closed lab exercise and a programming project. Also discusses the implementation of these activities and some of the results/lessons we learned.
Author(s): Erica Eddy
9 Pages
Learn about Bioinformatics and Computational Tools for Biology
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
NA Pages
Basic bioinformatics concepts, databases and tools
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
NA Pages
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
NA Pages
MATHEMATICS and BIOLOGY THE INTERFACE CHALLENGES and OPPORTUNITIES
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
NA PagesAdvertisement
