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| RNATracker
Zichao Yan et al. Prediction of mRNA subcellular localization using deep recurrent neural networks. Bioinformatics. 2019. RNATracker is a deep learning approach to learn mRNA subcellular localization patterns and to infer its outcome. It operates on the cDNA of the longest isoformic protein-coding transcript of a gene with or without its corresponding secondary structure annnotations. The learning targets are fractions/percentage of the transcripts being localized to a fixed set of subcellular compartments of interest. |
| pycgr | Chaos Game Representation chaotic dynamical systems (Jeffery 1990), or simply chaos was a physics terminology. The common idea of chaos is lack of order, randomness. Yet, with proper application of maths, chaos can be given form and as such, quantified. Thus, here comes chaos game, first described by Fractal modeling of real world images, Barnsly, 1988 and presented as a novel method, Chaos Game Representation, to present DNA structure, Chaos game representation of gene structure, H.Joel Jeffrey, 1990 This is a pythonic implementation (alpha stage) of cgr using biopython and matplotlib, to generate a cgr image of DNA fasta file. Ability to compare two different cgr will eventually be added. Ability to create cgr of anything other then DNA (e.g protein), is not planned for now. |
人工智能（Artificial Intelligence），英文缩写为AI。它是研究、开发用于模拟、延伸和扩展人的智能的理论、方法、技术及应用系统的一门新的技术科学。 人工智能是计算机科学的一个分支，它企图了解智能的实质，并生产出一种新的能以人类智能相似的方式做出反应的智能机器，该领域的研究包括机器人、语言识别、图像识别、自然语言处理和专家系统等。人工智能从诞生以来，理论和技术日益成熟，应用领域也不断扩大，可以设想，未来人工智能带来的科技产品，将会是人类智慧的“容器”。人工智能可以对人的意识、思维的信息过程的模拟。人工智能不是人的智能，但能像人那样思考、也可能超过人的智能。