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URL: https://maria.stanford.edu/index.php
Proper Citation: MARIA (RRID:SCR_028673)
Description: Web multimodal recurrent neural network tool designed to predict HLA-II (Human Leukocyte Antigen class II) peptide ligand presentation. It uses cell HLA alleles, peptide sequences, and source genes to evaluate antigen presentation. Used for predicting the likelihood of antigen presentation from a gene of interest in the context of specific HLA class II alleles.
Synonyms: MARIA:Major Histocompatibility Complex Analysis with Recurrent Integrated Architecture
Resource Type: software resource, web application
Defining Citation: PMID:31611695
Keywords: multimodal recurrent neural network, predicting likelihood of antigen presentation, gene of interest, specific HLA class II alleles,
Funding: NCI K08 CA207882; NCI U01 CA194389; NCRR S10RR027431; NIGMS GM 102365
Availability: Free, Freely available
Resource Name: MARIA
Resource ID: SCR_028673
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
