Books available @ Institute for Machine Learning

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
20709.1	Balding, David J.	Handbook of Statictical Genetics	2007
20709.2	Balding, David J.	Handbook of Statictical Genetics	2007
21461	Neale, Benjamin	Statistical Genetics: Gene Mapping Through Linkage and Association	2008
21551	Barillot, Emmanuel	Computational Systems Biology of Cancer	2013
21558	Rencher, Alvin C.	Linear models in statistics	2008
21565	Murphy, Kevin P.	Machine learning: A Probabilistic Perspective	2012
21576	Moore, David S. Moore	Introduction to the practice of statistics	2012
21644	McKinney, Wes	Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython	2012
21682	Sanders, Jason	CUDA by Example: An Introduction to General-Purpose GPU Programming	2011
21683	Reed, David	Chemistry for Biologists	2013
21686	Lutz, Mark	Learning Python	2013
21687	Wilt, Nickolas	The CUDA Handbook	2013
21690	Paradis, Emmanuel	Analysis of Phylogenetics and Evolution with R (2nd Edition)	2012
21692	Richert, Willi et. al	Building Machine Learning Systems with Python	2013
21742	Eddelbuettel, Dirk	Seamless R and C++ Integration with Rcpp	2013
21743	Lütkepohl, Helmut	Handbook of matrices	1996
21774	Deng, Li	Deep Learning Methods and Applications	2014
21843	Manning, Christopher D. et al.	Foundations of Statistical Natural Language Processing	1999
21844	Szeliski, Richard	Computer Vision: Algorithms and Applications	2011
21847	Kerber, Adalbert et al.	Mathematical Chemistry and Chemoinformatics	2014
21912	Goodfellow, Ian et al.	Deep Learning	2016
21913	Kushner, Harald J. et al.	Stochastic Approximation and Recursive Algorithms and Applications	2003
21914	Dayan, Peter et al.	Theoretical Neuroscience	2001

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