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• Clinical Trials
  Informed consent is the process of learning the key facts about a clinical trial before deciding whether or not to par ...
  9 KB (1370 words) - 17:24, 7 September 2008
• Homology Modeling
  ... essment methods outperformed common statistical, energy-based, and machine learning methods.
  9 KB (1291 words) - 11:19, 19 August 2008
• QSAR
  It is part of the machine learning method to reduce the risk for a SAR paradox, especially taking into accoun ... ... k structural interpretation ability. In combination with the later applied learning method or as preprocessing step occurs a feature selection problem.
  6 KB (859 words) - 09:16, 20 August 2008
• Support vector machines
  ... l learning theory have propelled SVMs to the very forefront of the machine learning field within the last decade.
  926 B (146 words) - 06:10, 18 August 2008
• Genomics
  ... ching using NCBI BLAST available through Gene Gateway, an online guide for learning about genes, proteins, and genetic disorders.
  5 KB (708 words) - 07:03, 18 August 2008
• Feature selection
  ... r of descriptors is very large in comparison to the number of compounds, a learning algorithm is faced with the problem of selecting a relevant subset of feat ... ... lving any learning algorithm; therefore, it does not inherit any bias of a learning algorithm. When the number of features becomes very large, the ‘filter ...
  1 KB (170 words) - 07:09, 18 August 2008
• DNA
  ... | author=Baldi, Pierre. Brunak, Soren | title=Bioinformatics: The Machine Learning Approach | publisher= MIT Press | date=2001| isbn=978-0-262-02506-5}}</ref ... * [http://www.dnai.org/ DNA Interactive] This site from the Dolan DNA Learning Center included dozens of animations as well as interviews with James Wats ...
  82 KB (11827 words) - 06:08, 20 August 2008
• Synthetic biology
  Biologists are interested in learning more about how natural living systems work. One simple, direct way to test ...
  17 KB (2568 words) - 06:47, 17 September 2008
• Bioinformatics Center, IMTECH
  ... d industrial sectors. A number of project assistants, working in BIC, are learning, getting trained while developing bioinformatics tools. In addition we als ... ... S. (2007) Prediction of subcellular localization of proteins using machine learning techniques and evolutionary information Amino Acids 33(3): X-XI
  34 KB (4785 words) - 10:18, 19 August 2008
• Pfmpred
  ... predict mitochondrial proteins from its residue composition-using machine learning technique. When evaluated on an independent dataset our method performs be ...
  2 KB (307 words) - 10:43, 19 August 2008
• PSEApred
  composition-using machine learning technique. The multiple sequence alignment provides more
  2 KB (275 words) - 10:46, 19 August 2008
• Pharmacogenomics
  ... t pharmacogenomics research, from the University of Utah's Genetic Science Learning Center
  2 KB (269 words) - 11:36, 20 August 2008
• Secondary structure prediction
  ... ert with larger databases of known protein structures and modern [[machine learning]] methods such as [[artificial neural network|neural nets]] and [[support ... ===Machine learning===
  12 KB (1607 words) - 06:13, 27 August 2008
• IGEM
  ... arouse student interest in modern biology and to develop their independent learning skills.
  3 KB (509 words) - 09:29, 27 August 2008
• List of RNA structure prediction software
  ... us RNA secondary structure from an RNA sequence alignment based on machine learning.||any||input||yes||yes||[http://www-lmmb.ncifcrf.gov/~bshapiro/downloader_ ...
  40 KB (4994 words) - 09:48, 27 August 2008
• Bacterial meningitis
  ... ditory, or intellectual impairments or functionally important behaviour or learning disorders which can manifest as poor school performance.
  17 KB (2528 words) - 04:22, 1 September 2008
• ISSPred
  ... supervised learning methods used for classification and regression.Machine learning tools have been proved useful and successful in identification of molecula ...
  3 KB (477 words) - 07:07, 31 August 2008
• Bioinformatics Databases
  ... lying computationally intensive techniques (e.g., data mining, and machine learning algorithms) to achieve this goal. Major research efforts in the field incl ...
  5 KB (765 words) - 12:07, 1 September 2008
• Ayurveda
  ... ld unhealthy ways, you must learn to always pick yourself up, like a child learning to walk, and begin again.
  20 KB (3217 words) - 03:40, 2 September 2008
• BTIS net : Bioinformatics centres in India
  ... ution to support bioinformatics tools and resources for the enhancement of learning capabilities. A list of these 52 BIF facilities is given at Annexure-I, A ... ... atitis, plant sciences, algorithm design for sequence classification and e-learning in bioiformatics. The department is now focusing on multi-institutional c ...
  11 KB (1616 words) - 04:56, 2 September 2008

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