Additional file 9 of Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information
The results of RNASeq data analysis for stomach cancer. (A) heatmap of top 200 most significantly dysregulated lncRNA expression values. (B) heatmap of lncRNA KCNQ1OT1 expression values. (C) boxplot of lncRNA KCNQ1OT1 expression in normal and tumor samples. (D) heatmap of lncRNA DLEU2 expression val...
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creator | Fan, Xiao-Nan Zhang, Shao-Wu Song-Yao Zhang Kunju Zhu Songjian Lu |
description | The results of RNASeq data analysis for stomach cancer. (A) heatmap of top 200 most significantly dysregulated lncRNA expression values. (B) heatmap of lncRNA KCNQ1OT1 expression values. (C) boxplot of lncRNA KCNQ1OT1 expression in normal and tumor samples. (D) heatmap of lncRNA DLEU2 expression values. (E) boxplot of lncRNA DLEU2 expression in normal and tumor samples. (F) heatmap of lncRNA LINC00299 expression values. (G) boxplot of lncRNA LINC00299 expression in normal and tumor samples. (TIF 9211 kb) |
doi_str_mv | 10.6084/m9.figshare.7744640 |
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(A) heatmap of top 200 most significantly dysregulated lncRNA expression values. (B) heatmap of lncRNA KCNQ1OT1 expression values. (C) boxplot of lncRNA KCNQ1OT1 expression in normal and tumor samples. (D) heatmap of lncRNA DLEU2 expression values. (E) boxplot of lncRNA DLEU2 expression in normal and tumor samples. (F) heatmap of lncRNA LINC00299 expression values. (G) boxplot of lncRNA LINC00299 expression in normal and tumor samples. 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(TIF 9211 kb)</description><subject>Biological Sciences not elsewhere classified</subject><subject>Cancer</subject><subject>Computational Biology</subject><subject>FOS: Biological sciences</subject><subject>FOS: Mathematics</subject><subject>Genetics</subject><subject>Mathematical Sciences not elsewhere classified</subject><subject>Molecular Biology</subject><subject>Science Policy</subject><subject>Space Science</subject><fulltext>true</fulltext><rsrctype>image</rsrctype><creationdate>2019</creationdate><recordtype>image</recordtype><sourceid>PQ8</sourceid><recordid>eNqdT8FOwzAM7YUDAr6Ai39gpdOqjR6naYgTQhUSx8hLnNRSk0xxumn_xQeSoiFx5mQ_-_n5vap6XDb1unlun3xXW3YyYKJ6s2nbddvcVl9bYzhzDDiC5ZGgg2jhPZFhPY9nNAbdv20XhoVQCFAkasZ5K3C4AIdMLhUcHBg-USqcgTKl6ChQnKQwbEz-5wIkTkmTwJnzAP1nDzi6mArwgMHAMUqxc6LSFN1zeQl-ylNx90fkvrqxOAo9XOtdtXrZf-xeFwYzas6kjok9potaNmrOrnynfrOra_bV_66-AREVcsU</recordid><startdate>20190220</startdate><enddate>20190220</enddate><creator>Fan, Xiao-Nan</creator><creator>Zhang, Shao-Wu</creator><creator>Song-Yao Zhang</creator><creator>Kunju Zhu</creator><creator>Songjian Lu</creator><general>figshare</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>20190220</creationdate><title>Additional file 9 of Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information</title><author>Fan, Xiao-Nan ; Zhang, Shao-Wu ; Song-Yao Zhang ; Kunju Zhu ; Songjian Lu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_6084_m9_figshare_77446403</frbrgroupid><rsrctype>images</rsrctype><prefilter>images</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Biological Sciences not elsewhere classified</topic><topic>Cancer</topic><topic>Computational Biology</topic><topic>FOS: Biological sciences</topic><topic>FOS: Mathematics</topic><topic>Genetics</topic><topic>Mathematical Sciences not elsewhere classified</topic><topic>Molecular Biology</topic><topic>Science Policy</topic><topic>Space Science</topic><toplevel>online_resources</toplevel><creatorcontrib>Fan, Xiao-Nan</creatorcontrib><creatorcontrib>Zhang, Shao-Wu</creatorcontrib><creatorcontrib>Song-Yao Zhang</creatorcontrib><creatorcontrib>Kunju Zhu</creatorcontrib><creatorcontrib>Songjian Lu</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Fan, Xiao-Nan</au><au>Zhang, Shao-Wu</au><au>Song-Yao Zhang</au><au>Kunju Zhu</au><au>Songjian Lu</au><format>book</format><genre>unknown</genre><ristype>GEN</ristype><title>Additional file 9 of Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information</title><date>2019-02-20</date><risdate>2019</risdate><abstract>The results of RNASeq data analysis for stomach cancer. (A) heatmap of top 200 most significantly dysregulated lncRNA expression values. (B) heatmap of lncRNA KCNQ1OT1 expression values. (C) boxplot of lncRNA KCNQ1OT1 expression in normal and tumor samples. (D) heatmap of lncRNA DLEU2 expression values. (E) boxplot of lncRNA DLEU2 expression in normal and tumor samples. (F) heatmap of lncRNA LINC00299 expression values. (G) boxplot of lncRNA LINC00299 expression in normal and tumor samples. (TIF 9211 kb)</abstract><pub>figshare</pub><doi>10.6084/m9.figshare.7744640</doi><oa>free_for_read</oa></addata></record> |
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subjects | Biological Sciences not elsewhere classified Cancer Computational Biology FOS: Biological sciences FOS: Mathematics Genetics Mathematical Sciences not elsewhere classified Molecular Biology Science Policy Space Science |
title | Additional file 9 of Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information |
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