Loading…
O-121 Exploring non-invasive methods to predict Ploidy Status: Combination of blastocyst morphology image analysis and proteomic profiles by using Artificial Neural Networks
Saved in:
Published in: | Human reproduction (Oxford) 2021-08, Vol.36 (Supplement_1) |
---|---|
Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | |
container_issue | Supplement_1 |
container_start_page | |
container_title | Human reproduction (Oxford) |
container_volume | 36 |
creator | Garg, A Bari, L Valera, M A Fernandez, E I Rocha, J C Quiñonero, A Domínguez, F Meseguer, M |
description | |
doi_str_mv | 10.1093/humrep/deab126.046 |
format | article |
fullrecord | <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_1093_humrep_deab126_046</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1093_humrep_deab126_046</sourcerecordid><originalsourceid>FETCH-LOGICAL-c816-9a096b92ea3724e0ab94badfcf6eb56ade3ede67da525dc69430697020ec6a7e3</originalsourceid><addsrcrecordid>eNotkE1OwzAUhC0EEqVwAVa-QFrbSZyGXVWVH6miSHQfvdgvrSGJI9sp5FDckRS6mm81mvkIuedsxlkezw9947Cba4SSCzljibwgE55IFok4ZZdkwoRcRJxLfk1uvP9gbMSFnJCfbcQFp-vvrrbOtHva2jYy7RG8OSJtMBys9jRY2jnURgX6VlujB_oeIPT-ga5sU5oWgrEttRUta_DBqsEH2ljXHWxt9wM1DeyRQgv14I0fQY91NqBtjDpRZWr0tBxo708Tli6YyigDNX3F3v1F-LLu09-Sqwpqj3fnnJLd43q3eo4226eX1XITqQWXUQ4sl2UuEOJMJMigzJMSdKUqiWUqQWOMGmWmIRWpVjJPYibzjAmGSkKG8ZSI_1rlrPcOq6Jz4wc3FJwVJ9_Fv-_i7LsYfce_08F8bw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>O-121 Exploring non-invasive methods to predict Ploidy Status: Combination of blastocyst morphology image analysis and proteomic profiles by using Artificial Neural Networks</title><source>Oxford Journals Online</source><creator>Garg, A ; Bari, L ; Valera, M A ; Fernandez, E I ; Rocha, J C ; Quiñonero, A ; Domínguez, F ; Meseguer, M</creator><creatorcontrib>Garg, A ; Bari, L ; Valera, M A ; Fernandez, E I ; Rocha, J C ; Quiñonero, A ; Domínguez, F ; Meseguer, M</creatorcontrib><identifier>ISSN: 0268-1161</identifier><identifier>EISSN: 1460-2350</identifier><identifier>DOI: 10.1093/humrep/deab126.046</identifier><language>eng</language><ispartof>Human reproduction (Oxford), 2021-08, Vol.36 (Supplement_1)</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Garg, A</creatorcontrib><creatorcontrib>Bari, L</creatorcontrib><creatorcontrib>Valera, M A</creatorcontrib><creatorcontrib>Fernandez, E I</creatorcontrib><creatorcontrib>Rocha, J C</creatorcontrib><creatorcontrib>Quiñonero, A</creatorcontrib><creatorcontrib>Domínguez, F</creatorcontrib><creatorcontrib>Meseguer, M</creatorcontrib><title>O-121 Exploring non-invasive methods to predict Ploidy Status: Combination of blastocyst morphology image analysis and proteomic profiles by using Artificial Neural Networks</title><title>Human reproduction (Oxford)</title><issn>0268-1161</issn><issn>1460-2350</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNotkE1OwzAUhC0EEqVwAVa-QFrbSZyGXVWVH6miSHQfvdgvrSGJI9sp5FDckRS6mm81mvkIuedsxlkezw9947Cba4SSCzljibwgE55IFok4ZZdkwoRcRJxLfk1uvP9gbMSFnJCfbcQFp-vvrrbOtHva2jYy7RG8OSJtMBys9jRY2jnURgX6VlujB_oeIPT-ga5sU5oWgrEttRUta_DBqsEH2ljXHWxt9wM1DeyRQgv14I0fQY91NqBtjDpRZWr0tBxo708Tli6YyigDNX3F3v1F-LLu09-Sqwpqj3fnnJLd43q3eo4226eX1XITqQWXUQ4sl2UuEOJMJMigzJMSdKUqiWUqQWOMGmWmIRWpVjJPYibzjAmGSkKG8ZSI_1rlrPcOq6Jz4wc3FJwVJ9_Fv-_i7LsYfce_08F8bw</recordid><startdate>20210806</startdate><enddate>20210806</enddate><creator>Garg, A</creator><creator>Bari, L</creator><creator>Valera, M A</creator><creator>Fernandez, E I</creator><creator>Rocha, J C</creator><creator>Quiñonero, A</creator><creator>Domínguez, F</creator><creator>Meseguer, M</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20210806</creationdate><title>O-121 Exploring non-invasive methods to predict Ploidy Status: Combination of blastocyst morphology image analysis and proteomic profiles by using Artificial Neural Networks</title><author>Garg, A ; Bari, L ; Valera, M A ; Fernandez, E I ; Rocha, J C ; Quiñonero, A ; Domínguez, F ; Meseguer, M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c816-9a096b92ea3724e0ab94badfcf6eb56ade3ede67da525dc69430697020ec6a7e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Garg, A</creatorcontrib><creatorcontrib>Bari, L</creatorcontrib><creatorcontrib>Valera, M A</creatorcontrib><creatorcontrib>Fernandez, E I</creatorcontrib><creatorcontrib>Rocha, J C</creatorcontrib><creatorcontrib>Quiñonero, A</creatorcontrib><creatorcontrib>Domínguez, F</creatorcontrib><creatorcontrib>Meseguer, M</creatorcontrib><collection>CrossRef</collection><jtitle>Human reproduction (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Garg, A</au><au>Bari, L</au><au>Valera, M A</au><au>Fernandez, E I</au><au>Rocha, J C</au><au>Quiñonero, A</au><au>Domínguez, F</au><au>Meseguer, M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>O-121 Exploring non-invasive methods to predict Ploidy Status: Combination of blastocyst morphology image analysis and proteomic profiles by using Artificial Neural Networks</atitle><jtitle>Human reproduction (Oxford)</jtitle><date>2021-08-06</date><risdate>2021</risdate><volume>36</volume><issue>Supplement_1</issue><issn>0268-1161</issn><eissn>1460-2350</eissn><doi>10.1093/humrep/deab126.046</doi></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0268-1161 |
ispartof | Human reproduction (Oxford), 2021-08, Vol.36 (Supplement_1) |
issn | 0268-1161 1460-2350 |
language | eng |
recordid | cdi_crossref_primary_10_1093_humrep_deab126_046 |
source | Oxford Journals Online |
title | O-121 Exploring non-invasive methods to predict Ploidy Status: Combination of blastocyst morphology image analysis and proteomic profiles by using Artificial Neural Networks |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-23T05%3A23%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=O-121%20Exploring%20non-invasive%20methods%20to%20predict%20Ploidy%20Status:%20Combination%20of%20blastocyst%20morphology%20image%20analysis%20and%20proteomic%20profiles%20by%20using%20Artificial%20Neural%20Networks&rft.jtitle=Human%20reproduction%20(Oxford)&rft.au=Garg,%20A&rft.date=2021-08-06&rft.volume=36&rft.issue=Supplement_1&rft.issn=0268-1161&rft.eissn=1460-2350&rft_id=info:doi/10.1093/humrep/deab126.046&rft_dat=%3Ccrossref%3E10_1093_humrep_deab126_046%3C/crossref%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c816-9a096b92ea3724e0ab94badfcf6eb56ade3ede67da525dc69430697020ec6a7e3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |