000 02276nam a2200289 4500
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020 _a9789352138333
020 _a9781492039839
041 _aeng
082 _a570.285 RAM-D
100 _aRamsundar, Bharath,
_923725
245 _aDeep learning for the life sciences : applying deep learning to genomics, microscopy, drug discovery, and more
260 _aSebastopol, California :
_bO'Reilly Media,
_c2019.
260 _aMumbai;
_bShroff Publishers & Distributors Pvt. Ltd.,
_c2022.
300 _ax, 222p.
520 _aExplains deep learning techniques and their applications in genomics, microscopy, drug discovery, computational biology, and other life science disciplines.
520 _aDeep learning has already achieved remarkable results in many fields. Now it's making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields. Ideal for practicing developers and scientists ready to apply their skills to scientific applications such as biology, genetics, and drug discovery, this book introduces several deep network primitives. You'll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicine--an example that represents one of science's greatest challenges. Learn the basics of performing machine learning on molecular data Understand why deep learning is a powerful tool for genetics and genomics Apply deep learning to understand biophysical systems Get a brief introduction to machine learning with DeepChem Use deep learning to analyze microscopic images Analyze medical scans using deep learning techniques Learn about variational autoencoders and generative adversarial networks Interpret what your model is doing and how it's working
650 _aLife science
_xArtificial intelligence.
_990743
650 _aMachine learning.
_990744
700 _aEastman, Peter
_990740
700 _aWalters, Patrick
_990741
700 _aPande, Vijay
_990742
942 _cBK
999 _c200850
_d200850