Showing 19 open source projects for "machine learning python"

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  • 1
    AMBIT:Chemical Structure DB&Web Service

    AMBIT:Chemical Structure DB&Web Service

    Chemical structures database & machine learning with web services API

    AMBIT offers a cheminformatics data management for chemical substances, structures and nanomaterials. Flexible structure, similarity and study queries storage, descriptor calculation and predictive models building via REST web services.User interface for creating read across assessment and generating reports, aligned with regulatory and industrial requirements. Command line applications also available. Integration with third party tools and databases.
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    Downloads: 20 This Week
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  • 2

    NGSpop

    NGSpop: identifying & visualizing sequence variation in deepvariant

    *NOTICE* The official software(NGSpop) will be updated soon, so please visit us in 2/29. Thank you.
    Downloads: 0 This Week
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  • 3
    GMOL

    GMOL

    A tool for 3D genome structure visualization

    ...This software was built upon the pre-existing Jmol package by Prof. Cheng's group. The software is developed in Prof. Jianlin Cheng's Bioinformatics, Data Mining and Machine Learning Laboratory in the Computer Science Department at the University of Missouri - Columbia, USA. The project is supported by the National Science Foundation (grant no. DBI1149224). If you use GMOL in your research, please cite: Nowotny, Jackson, Avery Wells, Oluwatosin Oluwadare, Lingfei Xu, Renzhi Cao, Tuan Trieu, Chenfeng He, and Jianlin Cheng. ...
    Downloads: 4 This Week
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  • 4
    GNAT

    GNAT

    GNAT recognizes gene names in text and maps them to NCBI Entrez Gene

    GNAT is a BioNLP/text mining tool to recognize and identify gene/protein names in natural language text. It will detect mentions of genes in text, such as PubMed/Medline abstracts, and disambiguate them to remove false positives and map them to the correct entry in the NCBI Entrez Gene database by gene ID. March 2017: We started to upload GNAT output on Medline. See files/results/medline/.
    Downloads: 1 This Week
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  • 5
    openModeller is a complete C++ framework for species potential distribution modelling. The project also includes a graphical user interface, a web service interface and an API for Python.
    Downloads: 16 This Week
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  • 6

    SuRankCo

    Supervised Ranking of Contigs in de novo Assemblies

    SuRankCo is a machine learning based software to score and rank contigs from de novo assemblies of next generation sequencing data. It trains with alignments of contigs with known reference genomes and predicts scores and ranking for contigs which have no related reference genome yet. For more details about SuRankCo and its functioning, please see "SuRankCo: Supervised Ranking of Contigs in de novo Assemblies" Mathias Kuhring, Piotr Wojtek Dabrowski, Andreas Nitsche and Bernhard Y. ...
    Downloads: 0 This Week
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  • 7

    Drug Extraction

    Drug name extraction

    Drug name recognition and normalisation/grounding to DrugBank ids and standard names. Package provides 2 taggers: 1. DrugTagger - CRF-based with DrugBank presence feature (see feature set for details). 2. DrugnameGazetteer - gazetteer/dictionary-based. Dictionary created from DrugBank.ca database. Both taggers include grounding/normalisation to DrugBank ids and standard names. Feature set: Word, Word-1, Word+1, Word-1_Word, Word_Word+1, DrugBankPresence, POS DrugBankPresence...
    Downloads: 1 This Week
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  • 8
    p-TAREF

    p-TAREF

    Plant miRNA target prediction tool

    Developed by Dr Ravi Shankar (Corresponding author) and Ashwani Jha @ SCBB, CSIR-IHBT. p-TAREF stands for plant TARget REFiner. It identifies plant microRNA targets on the basis of multiple feature information. Read more http://www.biomedcentral.com/1471-2164/12/636 Query, comment etc please mail any one of us @ ashwanijha.bioinfo@gmail.com or ravish9@gmail.com
    Downloads: 0 This Week
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  • 9
    Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...
    Downloads: 26 This Week
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  • 10

    VarImpact

    Extracting effects of mutations on molecular properties from text.

    Genetic variants alter cellular behavior in a variety of ways, changing biochemical properties of DNA, mRNA, and proteins. Many large-scale sequencing projects are under way to detect human variation in health and disease. Although broad disease associations can be discovered by GWAS studies, the low-level impact of mutations is hardly available in structured form. The results of thousands of small-scale experiments, on the other hand, are present in the literature and discuss observations...
    Downloads: 0 This Week
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  • 11
    TreeLiker

    TreeLiker

    TreeLiker is a collection of fast algorithms for working with complex

    TreeLiker is a collection of fast algorithms for working with complex structured data in relational form. The data can, for example, describe large organic molecules such as proteins or groups of individuals such as social networks or predator-prey networks etc. The algorithms included in TreeLiker are unique in that, in principle, they are able to search given sets of relational patterns exhaustively, thus guaranteeing that if some good pattern capturing an important feature of the problem...
    Downloads: 0 This Week
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  • 12

    Grid Computing MDR

    Grid-enabled version of the MDR software

    The objective of this project is to make available an open-source of a gridified version of the Multifactor Dimensionality Reduction (MDR) software (http://www.epistasis.org/software.html).
    Downloads: 0 This Week
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  • 13
    BorderFlow
    BorderFlow implements a general-purpose graph clustering algorithm. It maximizes the inner to outer flow ratio from the border of each cluster to the rest of the graph.
    Downloads: 0 This Week
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  • 14
    GAME stays for Generic Architecture based on Multiple Experts. Its main purpose is to make easy prototyping, test and release of prediction systems. Released by IASC group, university of Cagliari
    Downloads: 0 This Week
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  • 15
    Moara is a biological text mining tool and consists of a Java library and some auxiliary MySQL databases for gene/protein training and extraction of mentions and its further normalization and disambiguation.
    Downloads: 0 This Week
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  • 16
    Este projeto objetiva a criação de um Toolbox para utilização de algoritmos de Computação Bioinspirada. O Toobox oferece uma vasta coleção de algoritmos de ferramentas para o projeto de Algoritmos Genéticos e Redes Neurais.
    Downloads: 0 This Week
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  • 17
    PepArML: An unsupervised, model-free, combining peptide identification arbiter for tandem mass spectra via machine learning.
    Downloads: 3 This Week
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  • 18
    The aim of the BioWeka project is to add bioinformatics functionalities such as e.g. alignments to the popular machine learning framework Weka.
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    Downloads: 3 This Week
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  • 19
    Conrad is both a high performance Conditional Random Field engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.
    Downloads: 0 This Week
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