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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1371/journal.pcbi.1008724

https://doi.org/10.1371/journal.pcbi.1008724

Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships

Cited by: 81
Author(s): Florian Huber, Lars Ridder, Stefan Verhoeven, Jurriaan H. Spaaks, F. Diblen, Simon Rogers, Justin J. J. van der Hooft
Published: over 4 years ago

Software Mentions 9

cran: word2vec
Distributed Representations of Words
Papers that mentioned: 413
Very Likely Science (90)
pypi: conda
OS-agnostic, system-level binary package manager.
Papers that mentioned: 92
Very Likely Science (100)
pypi: gensim
Python framework for fast Vector Space Modelling
Papers that mentioned: 61
Very Likely Science (100)
pypi: matchms
Python library for large-scale comparisons and processing of tandem mass spectral data
Papers that mentioned: 1
Very Likely Science (100)
pypi: modular
Papers that mentioned: 1
Very Likely Science (65)
pypi: rdkit
A collection of chemoinformatics and machine-learning software written in C++ and Python
Papers that mentioned: 27
Very Likely Science (65)
pypi: scipy
Fundamental algorithms for scientific computing in Python
Papers that mentioned: 1,071
Very Likely Science (100)
pypi: spec2vec
Word2Vec based similarity measure of mass spectrometry data.
Papers that mentioned: 1
Very Likely Science (100)
pypi: word2vec
Wrapper for Google word2vec
Papers that mentioned: 413
Very Likely Science (85)