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前段时间,为了寻找相关的流式设门算法,在GOOGLECODE上找到了一个PYTHON编写的流式数据分析库,看了下作者的ROADMAP,很多IDEA跟我们在意见征集贴中发表的意见一致。而且,作者Jacob做的非常详细,很多功能我们都没想到。我最近在准备编译试用,但由于编译时出现问题,无法正常编译,正在与作者联系解决,并在信中希望他能够把软件编译成windows和linux下能直接使用的软件包。
等待作者的回音,我这段时间也会努力把编译的问题解决掉,努力让大家能够早日用上这款软件。
下面是该python库的roadmap:
IntroductionBelow are Ideas and road map of development. DetailsGoals - Create a Python library for flow cytometry data analysis, data
management and visualization.
2. Requirements2. [ ] Libraries 3. [ ] Fast - [ ] Use optimal data structures and alogrithms
2. [ ] Use numpy vector calculations 3. [ ] Foreign language interface (e.g. Cython) 4. [ ] Multi-core 5. [ ] Multi-processor 6. [ ] Exploit GPU Data structures 0/5- [ ] FCM class 0/5
- [ ] Components include FCM data, annotations
2. [ ] Behaves like numpy array 3. [ ] Operations can be chained 4. [ ] Maintains audit trail 5. [ ] QA measures
2. [ ] FCM collection class 0/4- [ ] Experimental annotations
2. [ ] Common gating strategy 3. [ ] Controls 4. [ ] QA measures 3. [ ] FCM Analysis classes 0/1- [ ] Tree structure of "clusters"
4. [ ] FCM collection analysis class 0/0 (?)- [ ] For comparisons of data sets in collection
Modules /- [ ] IO /
2. [ ] Bioconductor read and write 3. [ ] XML read and write
2. [ ] Compensate /2. [ ] Manual 3. [ ] Transform /2. [ ] Logicle 3. [ ] Hyperlog 4. [ ] Project /2. [ ] ICA 5. [ ] Gate /2. [ ] Ellipse 3. [ ] Quadrant 6. [ ] Statistics / 2. [ ] Clustering - Bayesian EM, DP family, variationalfamily, search family 3. [ ] Classification - mode hunting 4. [ ] Marker analysis - DiME2. [ ] Inference / 2. [ ] Time series analysis 3. [ ] Stochastic shotgun search7. [ ] Graphics /2. [ ] Statistical graphics 8. [ ] GUI /2. [ ] Application 9. [ ] Data management /2. [ ] Network interface - . [ ] Parallel /
2. [ ] MPI 3. [ ] Map-reduce with Hadoop/Dumbo
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