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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
Bioinformatics Sequence Analysis and Phylogenetics Lecture Notes (PDF 190P)
This book covers the following topics: biological basics needed in bioinformatics, Pairwise Alignment, Multiple Alignment, Phylogenetics, DNA, RNA, Transcription, Introns, Exons, and Splicing, Amino Acids.
Author(s): Sepp Hochreiter
180 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
Algorithms in Bioinformatics (PDF 175p)
This note explains the relationship between biology, bioinformatics and computer science and shows the computational approaches used in bioinformatics.
Author(s): Marcel Turcotte
175 Pages
Algorithms in Bioinformatics (PDF 82p)
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
NA 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
Algorithms in Bioinformatics (PDF 87P)
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
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
NA PagesAdvertisement
