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Áèáëèîãðàôèÿ Ïåðèîäèêà

Ëó÷øèå ðåçóëüòàòû

  1. Glyn Moody. Digital Code of Life : How Bioinformatics is Revolutionizing Science, Medicine and Business. – Ì.: , 0. – 0 ñ.
  2. Bartholomew Frederick Dowling. Evolutionary Finance. – Ì.: , 2005. – 0 ñ.
  3. From Data and Information Analysis to Knowledge Engineering : Proceedings of the 29th Annual Conference of the Gesellschaft fA?r Klassifikation e.V., University ... Data Analysis. – Ì.: , 2006. – 761 ñ.
  4. Data Analysis, Machine Learning and Applications: Proceedings of the 31st Annual Conference of the Gesellschaft fA?r Klassifikation e.V., Albert-Ludwigs-UniversitA¤t ... Data Analysis, and Knowledge Organization). – Ì.: , 2008. – 720 ñ.
  5. Jacques Van Helden. Statistics Applied to Bioinformatics. – Ì.: , 2008. – 400 ñ.
  6. Jacques Van Helden. Statistics Applied to Bioinformatics. – Ì.: , 2008. – 400 ñ.
  7. Alan Julian Izenman. Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (Springer Texts in Statistics). – Ì.: , 2008. – 734 ñ.
  8. Vlad Barbu, Nikolaos Limnios. Semi-Markov Chains and Hidden Semi-Markov Models toward Applications: Their use in Reliability and DNA Analysis (Lecture Notes in Statistics). – Ì.: , 2008. – 226 ñ.
  9. Randeep Rakwal. Plant Proteomics (Wiley - Interscience Series on Mass Spectrometry). – Ì.: , 2008. – 764 ñ.
  10. Ying Xu. COMPUTATIONAL METHODS FOR UNDERSTANDING BACTERIAL AND ARCHAEAL GENOMES (Advances in Bioinformatics and Computational Biology). – Ì.: , 2008. – 350 ñ.
  11. Statistics and Informatics in Cancer Research. – Ì.: , 2008. – 352 ñ.
  12. Modern Molecular Biology:: Approaches for Unbiased Discovery in Cancer Research (Applied Bioinformatics and Biostatistics in Cancer Research). – Ì.: , 2008. – 200 ñ.
  13. Protein-p Interactions and Networks: Identification, Computer Analysis, and Prediction (Computational Biology). – Ì.: , 2008. – 220 ñ.
  14. Applications of Fuzzy Logic in Bioinformatics (Series on Advances in Bioinformatics and Computational Biology). – Ì.: , 2008. – 300 ñ.
  15. Peter Markstein, Ying Xu. Computational Systems Bioinformatics: Proceedings of the Csb 2008 Conference. – Ì.: , 2008. – 350 ñ.
  16. Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications (Studies in Computational Intelligence). – Ì.: , 2008. – 432 ñ.
  17. Frederick Marcus. Bioinformatics and Systems Biology: Collaborative Research and Resources. – Ì.: , 2008. – 288 ñ.
  18. Volker Sperschneider. Bioinformatics: Problem Solving Paradigms. – Ì.: , 2008. – 290 ñ.
  19. Volkhard Helms. Principles of Computational Cell Biology: From Protein Complexes to Cellular Networks. – Ì.: , 2008. – 289 ñ.
  20. Dictionary of Biology. – Ì.: Oxford University Press, 2008. – 736 ñ.
  21. Cardiovascular Genomics: Methods and Protocols. – Ì.: Humana Press, 2009. – 350 ñ.
  22. Sunil K. Mathur. Statistical Bioinformatics: with R. – Ì.: , 2010. – 336 ñ.
  23. Protein Secretion: Methods and Protocols (Methods in Molecular Biology). – Ì.: , 2010. – 395 ñ.
  24. Jae K. Lee. Statistical Bioinformatics: For Biomedical and Life Science Researchers (Methods of Biochemical Analysis). – Ì.: , 2010. – 384 ñ.
  25. Knowledge Based Bioinformatics. – Ì.: , 2010. – 400 ñ.
  26. Bioinformatics for Glycobiology and Glycomics: An Introduction. – Ì.: , 2010. – 494 ñ.
  27. Huma M. Lodhi, Stephen H. Muggleton. Elements of Computational Systems Biology (Wiley Series in Bioinformatics). – Ì.: , 2010. – 412 ñ.
  28. Faming Liang. Advanced Markov Chain Monte Carlo Methods. – Ì.: , 2010. – 376 ñ.
  29. Dilip K Arora. Bioinformatics,6. – Ì.: , 2010. – 350 ñ.
  30. Gary Fogel. Evolutionary Computation in Bioinformatics. – Ì.: , 2010. – 450 ñ.
  31. Zo+® Lacroix. Bioinformatics. – Ì.: , 2010. – 441 ñ.
  32. Didier Chatenay. Multiple Aspects of DNA and RNA: from Biophysics to Bioinformatics,Session LXXXII. – Ì.: , 2010. – 378 ñ.
  33. M. Michael Gromiha. Protein Bioinformatics:From Sequence to Function. – Ì.: , 2010. – 339 ñ.
  34. Richard E. Neapolitan. Probabilistic Methods for Bioinformatics. – Ì.: , 2010. – 424 ñ.
  35. Cynthia Gibas. Developing Bioinformatics Computer Skills. – Ì.: , 2001. – 448 ñ.
  36. Paul G. Higgs. Bioinformatics and Molecular Evolution. – Ì.: , 2004. – 384 ñ.
  37. Mitchell L Model. Bioinformatics Programming Using Python. – Ì.: , 2010. – 522 ñ.
  38. Ole Lund. Immunological Bioinformatics. – Ì.: , 2005. – 312 ñ.
  39. Bioinformatics for Geneticists. – Ì.: , 2007. – 576 ñ.
  40. Ruediger–Marcus Flaig. Bioinformatics Programming in Python. – Ì.: , 2008. – 428 ñ.
  41. Matthew He. Mathematics of Bioinformatics. – Ì.: , 2010. – 298 ñ.
  42. James Tisdall. Beginning Perl for Bioinformatics. – Ì.: , 2001. – 384 ñ.
  43. Neil C Jones. An Introduction to Bioinformatics Algorithms. – Ì.: , 2004. – 448 ñ.
  44. Jean–Michel Claverie Ph. D. Bioinformatics For Dummies®. – Ì.: , 2003. – 480 ñ.
  45. Pierre Baldi. Bioinformatics – The Machine Learning Approach 2e (OI) (S). – Ì.: , 2001. – 400 ñ.
  46. Pierre Baldi. Bioinformatics – The Machine Learning Approach. – Ì.: , 1998. – 370 ñ.
  47. Jonathan Pevsner. Bioinformatics and Functional Genomics. – Ì.: , 2009. – 984 ñ.
  48. Bioinformatics: A Computing Perspective. – Ì.: , 2008. – 672 ñ.
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Äîïîëíèòåëüíûå ðåçóëüòàòû

  1. Glyn Moody. Digital Code of Life : How Bioinformatics is Revolutionizing Science, Medicine and Business. – Ì.: , 0. – 0 ñ.
  2. Bartholomew Frederick Dowling. Evolutionary Finance. – Ì.: , 2005. – 0 ñ.
  3. From Data and Information Analysis to Knowledge Engineering : Proceedings of the 29th Annual Conference of the Gesellschaft fA?r Klassifikation e.V., University ... Data Analysis. – Ì.: , 2006. – 761 ñ.
  4. Data Analysis, Machine Learning and Applications: Proceedings of the 31st Annual Conference of the Gesellschaft fA?r Klassifikation e.V., Albert-Ludwigs-UniversitA¤t ... Data Analysis, and Knowledge Organization). – Ì.: , 2008. – 720 ñ.
  5. Jacques Van Helden. Statistics Applied to Bioinformatics. – Ì.: , 2008. – 400 ñ.
  6. Jacques Van Helden. Statistics Applied to Bioinformatics. – Ì.: , 2008. – 400 ñ.
  7. Alan Julian Izenman. Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (Springer Texts in Statistics). – Ì.: , 2008. – 734 ñ.
  8. Vlad Barbu, Nikolaos Limnios. Semi-Markov Chains and Hidden Semi-Markov Models toward Applications: Their use in Reliability and DNA Analysis (Lecture Notes in Statistics). – Ì.: , 2008. – 226 ñ.
  9. Randeep Rakwal. Plant Proteomics (Wiley - Interscience Series on Mass Spectrometry). – Ì.: , 2008. – 764 ñ.
  10. Ying Xu. COMPUTATIONAL METHODS FOR UNDERSTANDING BACTERIAL AND ARCHAEAL GENOMES (Advances in Bioinformatics and Computational Biology). – Ì.: , 2008. – 350 ñ.
  11. Statistics and Informatics in Cancer Research. – Ì.: , 2008. – 352 ñ.
  12. Modern Molecular Biology:: Approaches for Unbiased Discovery in Cancer Research (Applied Bioinformatics and Biostatistics in Cancer Research). – Ì.: , 2008. – 200 ñ.
  13. Protein-p Interactions and Networks: Identification, Computer Analysis, and Prediction (Computational Biology). – Ì.: , 2008. – 220 ñ.
  14. Applications of Fuzzy Logic in Bioinformatics (Series on Advances in Bioinformatics and Computational Biology). – Ì.: , 2008. – 300 ñ.
  15. Peter Markstein, Ying Xu. Computational Systems Bioinformatics: Proceedings of the Csb 2008 Conference. – Ì.: , 2008. – 350 ñ.
  16. Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications (Studies in Computational Intelligence). – Ì.: , 2008. – 432 ñ.
  17. Frederick Marcus. Bioinformatics and Systems Biology: Collaborative Research and Resources. – Ì.: , 2008. – 288 ñ.
  18. Volker Sperschneider. Bioinformatics: Problem Solving Paradigms. – Ì.: , 2008. – 290 ñ.
  19. Volkhard Helms. Principles of Computational Cell Biology: From Protein Complexes to Cellular Networks. – Ì.: , 2008. – 289 ñ.
  20. Dictionary of Biology. – Ì.: Oxford University Press, 2008. – 736 ñ.
  21. Cardiovascular Genomics: Methods and Protocols. – Ì.: Humana Press, 2009. – 350 ñ.
  22. Sunil K. Mathur. Statistical Bioinformatics: with R. – Ì.: , 2010. – 336 ñ.
  23. Protein Secretion: Methods and Protocols (Methods in Molecular Biology). – Ì.: , 2010. – 395 ñ.
  24. Jae K. Lee. Statistical Bioinformatics: For Biomedical and Life Science Researchers (Methods of Biochemical Analysis). – Ì.: , 2010. – 384 ñ.
  25. Knowledge Based Bioinformatics. – Ì.: , 2010. – 400 ñ.
  26. Bioinformatics for Glycobiology and Glycomics: An Introduction. – Ì.: , 2010. – 494 ñ.
  27. Huma M. Lodhi, Stephen H. Muggleton. Elements of Computational Systems Biology (Wiley Series in Bioinformatics). – Ì.: , 2010. – 412 ñ.
  28. Faming Liang. Advanced Markov Chain Monte Carlo Methods. – Ì.: , 2010. – 376 ñ.
  29. Dilip K Arora. Bioinformatics,6. – Ì.: , 2010. – 350 ñ.
  30. Gary Fogel. Evolutionary Computation in Bioinformatics. – Ì.: , 2010. – 450 ñ.
  31. Zo+® Lacroix. Bioinformatics. – Ì.: , 2010. – 441 ñ.
  32. Didier Chatenay. Multiple Aspects of DNA and RNA: from Biophysics to Bioinformatics,Session LXXXII. – Ì.: , 2010. – 378 ñ.
  33. M. Michael Gromiha. Protein Bioinformatics:From Sequence to Function. – Ì.: , 2010. – 339 ñ.
  34. Richard E. Neapolitan. Probabilistic Methods for Bioinformatics. – Ì.: , 2010. – 424 ñ.
  35. Cynthia Gibas. Developing Bioinformatics Computer Skills. – Ì.: , 2001. – 448 ñ.
  36. Paul G. Higgs. Bioinformatics and Molecular Evolution. – Ì.: , 2004. – 384 ñ.
  37. Mitchell L Model. Bioinformatics Programming Using Python. – Ì.: , 2010. – 522 ñ.
  38. Ole Lund. Immunological Bioinformatics. – Ì.: , 2005. – 312 ñ.
  39. Bioinformatics for Geneticists. – Ì.: , 2007. – 576 ñ.
  40. Ruediger–Marcus Flaig. Bioinformatics Programming in Python. – Ì.: , 2008. – 428 ñ.
  41. Matthew He. Mathematics of Bioinformatics. – Ì.: , 2010. – 298 ñ.
  42. James Tisdall. Beginning Perl for Bioinformatics. – Ì.: , 2001. – 384 ñ.
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  44. Jean–Michel Claverie Ph. D. Bioinformatics For Dummies®. – Ì.: , 2003. – 480 ñ.
  45. Pierre Baldi. Bioinformatics – The Machine Learning Approach 2e (OI) (S). – Ì.: , 2001. – 400 ñ.
  46. Pierre Baldi. Bioinformatics – The Machine Learning Approach. – Ì.: , 1998. – 370 ñ.
  47. Jonathan Pevsner. Bioinformatics and Functional Genomics. – Ì.: , 2009. – 984 ñ.
  48. Bioinformatics: A Computing Perspective. – Ì.: , 2008. – 672 ñ.
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  50. Jianbo Yang. Feature selection and model selection in supervised learning. – Ì.: LAP Lambert Academic Publishing, 2015. – 160 ñ.
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