| Signature |
Author(s) |
Titel |
Year |
| 2730 |
Hansen, Andrea |
Bioinformatik - Ein Leitfaden für Naturwissenschaftler |
2001 |
| 18982 |
Cristianini, Nello |
An introduction to support vector machines |
2006 |
| 18987.1 |
Lengauer, Thomas (ed.) |
Bioinformatics - From Genome to Drugs (Vol. I) |
2002 |
| 18987.2 |
Lengauer, Thomas (ed.) |
Bioinformatics - From Genome to Drugs (Vol. II) |
2002 |
| 18988 |
Augen, Jeff |
Bioinformatics in the post-genomic era |
2005 |
| 18989 |
Pevsner, Jonathan |
Bioinformatics and functional genomics |
2003 |
| 18990 |
Gusfield, Dan |
Algorithms on strings, trees, and sequences: computer science and computational biology |
1999 |
| 18991 |
Voet, Donald |
Biochemistry |
2004 |
| 18992 |
Paun, Gheorghe |
DNA computing: new computing paradigms |
2005 |
| 18993 |
Clote, Peter |
Computational molecular biology: an introduction |
2005 |
| 18994 |
Baldi, Pierre |
DNA microarrays and gene expression: from experiment to data analysis and modeling |
2002 |
| 18995 |
Friesner, Richard A. (ed.) |
Advances in chemical physics - Computational Methods for Protein Folding |
2001 |
| 18996 |
Weston, Paul |
Bioinformatics software engineering: delivering effective applications |
2004 |
| 18997 |
Baldi, Pierre |
Bioinformatics: the machine learning approach |
2001 |
| 18998 |
Korf, Ian |
BLAST |
2003 |
| 18999 |
Lacroix, Zoé |
Bioinformatics: managing scientific data |
2003 |
| 19000 |
Baxevanis, Andreas D. |
Bioinformatics: a practical guide to the analysis of genes and proteins |
2005 |
| 19001 |
Petsko, Gregory A. |
Protein structure and function |
2004 |
| 19002 |
Kohane, Isaac S. |
Microarrays for an integrative genomics |
2003 |
| 19003 |
Setubal, João Carlos |
Introduction to computational molecular biology |
1997 |
| 19004 |
Schölkopf, Bernhard |
Advances in kernel methods: support vector learning |
1999 |
| 19005 |
Schölkopf, Bernhard |
Learning with Kernels: support vector machines, regularization, optimization, and beyond |
2002 |
| 19006 |
Nei, Masatoshi |
Molecular evolution and phylogenetics |
2000 |
| 19007 |
Wang, Jason T. L. |
Pattern discovery in biomolecular data: tools, techniques, and applications |
1999 |
| 19010 |
Wit, Ernst |
Statistics for microarrays: design, analysis and inference |
2004 |
| 19011 |
Hyvärinen, Aapo |
Independent component analysis |
2001 |
| 19012 |
Sorensen, Daniel |
Likelihood, Bayesian, and MCMC methods in quantitative genetics |
2002 |
| 19013 |
Eidhammer, Ingvar |
Protein bioinformatics: an algorithmic approach to sequence and structure analysis |
2004 |
| 19014 |
Duda, Richard O. |
Pattern classification |
2001 |
| 19015 |
Dwyer, Rex A. |
Genomic Perl: from bioinformatics basics to working code |
2003 |
| 19016 |
Lesk, Arthur M. |
Introduction to protein architecture: the structural biology of proteins |
2003 |
| 19017 |
MacKay, David J. C. |
Information theory, inference, and learning algorithms |
2005 |
| 19018 |
Jones, Neil C. |
An introduction to bioinformatics algorithms |
2004 |
| 19019 |
Cherkassky, Vladimir |
Learning from data: concepts, theory, and methods |
1998 |
| 19020 |
Bishop, Christopher M. |
Neural networks for pattern recognition |
2005 |
| 19021 |
Hand, David J. |
Principles of data mining |
2001 |
| 19022 |
Sutton, Richard S. |
Reinforcement learning: an introduction |
1998 |
| 19024 |
Kolchanov, Nikolay (ed.) |
Bioinformatics of genome regulation and structure |
2004 |
| 19025 |
Branden, Carl |
Introduction to protein structure |
1999 |
| 19026 |
Mathews, Christopher K. |
Biochemistry |
2000 |
| 19030 |
Cichocki, Andrzej |
Adaptive blind signal and image processing: learning algorithms and applications |
2005 |
| 19031 |
Vapnik, Vladimir N. |
Statistical learning theory |
1998 |
| 19032 |
Knudsen, Steen |
Guide to analysis of DNA microarray data |
2004 |
| 19033 |
Deco, Gustavo |
An information-theoretic approach to neural computing |
1997 |
| 19034 |
Golub, Gene H. |
Matrix computations |
1996 |
| 19035 |
Haykin, Simon (ed.) |
Unsupervised adaptive filtering |
2000 |
| 19036 |
Lütkepohl, Helmut |
Handbook of matrices |
1996 |
| 19037 |
Suykens, Johan A. |
Least squares support vector machines |
2005 |
| 19038 |
Haykin, Simon |
Neural networks: a comprehensive foundation |
1999 |
| 19041 |
Vapnik, Vladimir N. |
The nature of statistical learning theory |
2000 |
| 19042 |
Joachims, Thorsten |
Learning to classify text using support vector machines: methods, theory and algorithms |
2002 |
| 19043 |
Lee, Te-Won |
Independent component analysis: theory and applications |
1998 |
| 19044 |
Jolliffe, Ian T. |
Principal component analysis |
2002 |
| 19045 |
Hertz, John |
Introduction to the theory of neural computation |
1991 |
| 19052 |
Hastie, Trevor |
The elements of statistical learning: data mining, inference, and prediction |
2001 |
| 19059 |
Haykin, Simon S. |
Unsupervised adaptive filtering, Vol. II |
2000 |
| 19071 |
Herbrich, Ralf |
Learning kernel classifiers: theory and algorithms |
2002 |
| 19075 |
Barnes, Michael R. |
Bioinformatics for geneticists |
2003 |
| 19076 |
Neal, Radford M. |
Bayesian learning for neural networks |
1996 |
| 19077 |
Wang, Jason T. L. |
Data mining in bioinformatics |
2005 |
| 19078 |
Ewens, Warren J. |
Statistical methods in bioinformatics: an introduction |
2005 |
| 19079 |
Mitchell, Tom M. |
Machine learning |
2005 |
| 19080 |
Grimmett, Geoffrey |
Probability and random processes |
2005 |
| 19083 |
Hinton, Geoffrey |
Unsupervised learning: foundations of neural computation |
1999 |
| 19084 |
Weigend, Andreas S. |
Time series prediction : forecasting the future and understanding the past |
1994 |
| 19085 |
Barnett, Vic |
Outliers in statistical data |
1998 |
| 19102 |
Fall, Christopher P. |
Computational cell biology |
2005 |
| 19103 |
Kohonen, Teuvo |
Self-organizing maps |
2001 |
| 19104 |
Huber, Peter J. |
Robust statistics |
2004 |
| 19105 |
Bourne, Philip E. |
Structural bioinformatics |
2003 |
| 19106 |
Gersho, Allen |
Vector quantization and signal compression |
1992 |
| 19107 |
Vapnik, Vladimir N. |
The nature of statistical learning theory |
2000 |
| 19109 |
Sternberg, Michael J. E. |
Protein structure prediction: a practical approach |
2002 |
| 19110 |
Flower, Darren R. |
Drug design: cutting edge approaches |
2002 |
| 19127 |
Lesk, Arthur M. |
Introduction to bioinformatics |
2005 |
| 19134 |
Percus, Jerome K. |
Mathematics of genome analysis |
2002 |
| 19135 |
Ripley, Brian D. |
Pattern recognition and neural networks |
2005 |
| 19154 |
Cerami, Ethan |
XML for Bioinformatics |
2005 |
| 19157 |
Pearl, Judea |
Probabilistic reasoning in intelligent systems: networks of plausible inference |
1997 |
| 19160 |
Waterman, Michael S. |
Introduction to computational biology: maps, sequences and genomes |
2000 |
| 19161 |
Efron, Bradley |
An introduction to the bootstrap |
1998 |
| 19162 |
Cox, Trevor F. |
Multidimensional scaling |
2001 |
| 19172 |
Koski, Timo |
Hidden Markov models for bioinformatics |
2001 |
| 19173 |
Alberts, Bruce |
Molecular biology of the cell |
2002 |
| 19174 |
Lodish, Harvey F. |
Molecular cell biology |
2004 |
| 19234 |
Lesk, Arthur M. |
Database annotation in molecular biology |
2005 |
| 19284 |
Campbell, A. Malcolm |
Discovering genomics, proteomics, and bioinformatics |
2007 |
| 19285 |
Mount, David W. |
Bioinformatics: sequence and genome analysis |
2004 |
| 19290 |
McLachlan, Geoffrey J. |
Analyzing microarray gene expression data |
2004 |
| 19291 |
Orengo, Christine A. |
Bioinformatics: genes, proteins and computers |
2005 |
| 19292 |
Speed, Terry |
Statistical analysis of gene expression microarray data |
2003 |
| 19297 |
Pennington, Stephen R. |
Proteomics: from protein sequence to function |
2001 |
| 19308 |
Claverie, Jean-Michel |
Bioinformatics for dummies |
2006 |
| 19388 |
Lidie, Stephen |
Mastering Perl/Tk |
2002 |
| 19398 |
Orwant, Jon |
Mastering algorithms with Perl |
1999 |
| 19673 |
Press, William H. |
Numerical recipes: the art of scientific computing |
2007 |
| 19691 |
Paradis, Emmanuel |
Analysis of phylogenetics and evolution with R |
2006 |
| 19793 |
Draper, Norman Richard |
Applied regression analysis |
1998 |
| 19794 |
Hosmer, David W. |
Applied logistic regression |
2000 |
| 19868 |
Dudoit, Sandrine |
Multiple testing procedures with applications to genomics |
2008 |
| 19869 |
Gentleman, Robert |
Bioinformatics and computational biology solutions using R and Bioconductor |
2005 |
| 19979 |
Semizarov, Dimitri |
Genomics in drug discovery and development |
2009 |
| 20010 |
Boyd, Stephen P. |
Convex optimization |
2008 |
| 20019 |
Bishop, Christopher M. |
Pattern recognition and machine learning |
2006 |
| 20142 |
Ligges, Uwe |
Programmieren mit R |
2008 |
| 20148 |
Chambers, John M. |
Software for data analysis: programming with R |
2008 |
| 20149 |
Gentleman, Robert |
R programming for bioinformatics |
2009 |
| 20150 |
Murrell, Paul |
R graphics |
2006 |
| 20157 |
Leach, Andrew R. |
An introduction to chemoinformatics |
2007 |
| 20187 |
Hartl, Daniel L. |
Principles of population genetics |
2007 |
| 20188 |
Foulkes, Andrea S. |
Applied statistical genetics with R: for population-based association studies |
2009 |
| 20189 |
Wickham, Hadley |
ggplot2: elegant graphics for data analysis |
2009 |
| 20190 |
Broman, Karl W. |
A guide to QTL mapping with R/qtl |
2009 |
| 20191 |
Claude, Julien |
Morphometrics with R |
2008 |
| 20213 |
Hartl, Daniel L. |
A primer of population genetics |
2000 |
| 20216 |
Siegmund, David |
The statistics of gene mapping |
2007 |
| 20217 |
Gustafson, J. Perry |
Genomics of Disease |
2008 |
| 20218 |
Nielsen, Kare Lehmann |
Serial analysis of gene expression (SAGE) |
2008 |
| 20219 |
Maly, Ivan V. |
Systems biology |
2009 |
| 20220 |
Sarkar, Deepayan |
Lattice: multivariate data visualization with R |
2008 |
| 20221 |
Maindonald, John |
Data analysis and graphics using R: an example-based approach |
2008 |
| 20228 |
Bolker, Benjamin M. |
Ecological models and data in R |
2008 |
| 20231 |
Falus, Andras |
Clinical applications of immunomics |
2009 |
| 20232 |
Forsdyke, Donald R. |
Evolutionary Bioinformatics |
2006 |
| 20233 |
Hahne, Florian |
Bioconductor case studies |
2008 |
| 20234 |
Isaev, Alexander |
Introduction to mathematical methods in bioinformatics |
2006 |
| 20235 |
Murphy, William J. |
Phylogenomics |
2008 |
| 20236 |
Krawetz, Stephen A. |
Bioinformatics for systems biology |
2009 |
| 20237 |
Chapelle, Olivier |
Semi-supervised learning |
2006 |
| 20238 |
Getoor, Lise |
Introduction to statistical relational learning |
2007 |
| 20245 |
Jaynes, Edwin T. |
Probability theory: the logic of science |
2009 |
| 20253 |
Lemey, Philippe |
The phylogenetic handbook |
2009 |
| 20254 |
Deonier, Richard C. |
Computional genome analysis: an introduction |
2005 |
| 20255 |
Chao, Kun-Mao |
Sequence comparison: theory and methods |
2008 |
| 20269 |
Gan, Guojun |
Data clustering: theory, algorithms, and applications |
2007 |
| 20270 |
Edelstein-Keshet, Leah |
Mathematical models in biology |
2005 |
| 20271 |
Cox, David R. |
Principles of statistical inference |
2006 |
| 20272 |
Cristianini, Nello |
Introduction to computational genomics: a case studies approach |
2007 |
| 20273 |
Do, Kim-Anh |
Bayesian inference for gene expression and proteomics |
2006 |
| 20274 |
Schölkopf, Bernhard |
Kernel methods in computational biology |
2004 |
| 20275 |
Fertin, Guillaume |
Combinatorics of genome rearrangements |
2009 |
| 20276 |
Hammerstein, Peter |
Genetic and cultural evolution of cooperation |
2003 |
| 20277 |
Lund, Ole |
Immunological bioinformatics |
2005 |
| 20281 |
Hofbauer, Josef |
Evolutionary games and population dynamics |
2003 |
| 20282 |
Leonard, Thomas |
Bayesian methods: an analysis for statisticians and interdisciplinary researchers |
2009 |
| 20288 |
Koller, Daphne |
Probabilistic graphical models: principles and techniques |
2009 |
| 20289 |
Bürger, Reinhard |
The mathematical theory of selection, recombination, and mutation |
2000 |
| 20290 |
Hamilton, Matthew B. |
Population genetics |
2009 |
| 20291 |
Gasteiger, Johann |
Chemoinformatics: a textbook |
2008 |
| 20304 |
Kogan, Jacob |
ntroduction to clustering large and high-dimensional data |
2007 |
| 20305 |
Avise, John C. |
Evolutionary pathways in nature: a phylogenetic approach |
2008 |
| 20308 |
Bottou, Léon |
Large-scale Kernel machines |
2007 |
| 20329 |
Freedman, David |
Statistical models: theory and practice |
2009 |
| 20342 |
Jacoby, Edgar |
Chemogenomics: knowledge-based approaches to drug discovery |
2006 |
| 20418 |
McLachlan, Geoffrey J. |
The EM algorithm and extensions |
2008 |
| 20500 |
Barnes, Michael R. |
Genetic variation: methods and protocols |
2010 |
| 20503 |
Moorhouse, Michael |
Bioinformatics biocomputing and Perl: an introduction to bioinformatics, computing skills and practice |
2004 |
| 20505 |
Motulsky, Harvey |
Intuitive biostatistics |
1995 |
| 20509 |
Greene, Judith |
Learning to use statistical tests in psychology |
2006 |
| 20513 |
Klipp, Edda |
Systems biology: a textbook |
2009 |
| 20514 |
Gruijter, Dato N. M. de |
Statistical test theory for the behavioral sciences |
2008 |
| 20517 |
Tisdall, James D. |
Mastering Perl for bioinformatics |
2003 |
| 20527 |
Kanji, Gopal K. |
100 statistical tests |
2006 |
| 20538 |
Miller, Frederic P. |
Copy number variation: DNA, Genome, Ploidy, Deletion (genetics), Gene duplication, Low copy repeats, Segmental duplication, Cytogenetics, Fluorescent ... Comparative genomic hybridization |
2010 |
| 20664 |
Laird, Nan M. |
The Fundamentals of Modern Statistical Genetics |
2011 |
