I am wondering from where the tensor._c.TensorBase comes from?Can Someone please tell me the c source code for this.
Quite hidden, currently under torch/csrc/autograd/python_variable.cpp.
More general information is available in this discussion.
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I have a question where I don´t know how to start this. We did a scRNA sequencing experiment and I now have an AnnData dataset. I already know a lot about this dataset mainly by using scanpy library and I would like to "finalise" the analysis by extracting genes that have a specific RNA sequence in the 3'UTR.
Unfortunately I have no idea how to approach this since I am no bioinformatician and couldn´t find a tutorial to do this. Can someone please help me with this problem?
Here how it looks like.
Thanks in advance!
I just found a way around in R. It is on the bases on BSgenome.Mmusculus.UCSC.mm10. You can find the answer here. Just read in the result in python as a list and us the function sc.tl.score_genes to see where they are enriched.
As per topic, are there any newbie friendly mentoring groups perhaps, where I can ask a specific code related question and get an answer specific to my code even if it is a duplicate? I would welcome any suggestions please.(I'm sorry, I have a Dyslexia and Asperger's Syndrome, I easily get confused when reading, therefore need some explicit explanation).
The Code Review community is good for specific questions about your code. The site is here in case you don't know how to find it. Since the community is about reviewing specific code you will probably get your question answered even if someone has posted code that does the same thing before.
I'm trying to develop something that extract keywords from a text. I know AlchemyAPI work best for this. Now i wanna know what algorithms AlchemyAPI used so that i can implement code of it on my own. Does anyone has any idea about it. Please share it. Thanks in advance.
I have no idea what specific algorithms AlchemyAPI uses (I'm guessing it is on the extreme end of proprietary), but the Stanford NLP has a lot of information and code that may be useful:
http://www-nlp.stanford.edu/software/lex-parser.shtml
For my master thesis I want to implement to optaplanner "reinforcement learning" and test my algorithm with the problems that are modeled in the examples, but I need a guide or any documentation that help me to understand the way. Can you help me?
Get the source code and built it locally. Make sure you fork it on GitHub.
Make sure you understand the scope overview.
Then find the class DefaultLocalSearchSolverPhase and LocalSearchSolverPhaseConfig: start reading code :) For a simpler example, look at AcceptorConfig and LateAcceptanceAcceptor.
A *Config class is a representation of the solver config XML. It builds the actual runtime class * which is used during solving.
I am not clear about synchronisation and unsynchronisation in id3 tags.
I have read the developer info, but i could not able to understand.
Can you please help me in explaining the things clearly.
Thanks.
What more precisely you do not understand? It seems documentation is quite clear. The synchronisation can be used to some (in general legasy) programs, that do not know about ID3v2, does not accept tag data as frame header. By the way, it seems majority of programs does not use syncronisation, and possible if you faced with dificulties with synchronisation you can try do not work with synchronized tags.
I have tried to explain the unsynchronization scheme in a writeup here. In addition to the specifications you might want to have a look at http://phoxis.org/2010/05/08/what-are-id3-tags-all-about/#unsyncsafe