scSTEM: clustering pseudotime ordered single-cell data.
scSTEM: clustering pseudotime ordered single-cell data.
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DOI:
10.1186/s13059-022-02716-9
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发表时间:
2022-07-07
期刊:
影响因子:
12.3
通讯作者:
中科院分区:
文献类型:
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作者:
We develop scSTEM, single-cell STEM, a method for clustering dynamic profiles of genes in trajectories inferred from pseudotime ordering of single-cell RNA-seq (scRNA-seq) data. scSTEM uses one of several metrics to summarize the expression of genes and assigns a p-value to clusters enabling the identification of significant profiles and comparison of profiles across different paths. Application of scSTEM to several scRNA-seq datasets demonstrates its usefulness and ability to improve downstream analysis of biological processes. scSTEM is available at https://github.com/alexQiSong/scSTEM. The online version contains supplementary material available at 10.1186/s13059-022-02716-9.
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影响因子:
64.8
作者:
Cao, Junyue;Spielmann, Malte;Shendure, Jay
通讯作者:
Shendure, Jay
影响因子:
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Frankish A;Diekhans M;Ferreira AM;Johnson R;Jungreis I;Loveland J;Mudge JM;Sisu C;Wright J;Armstrong J;Barnes I;Berry A;Bignell A;Carbonell Sala S;Chrast J;Cunningham F;Di Domenico T;Donaldson S;Fiddes IT;García Girón C;Gonzalez JM;Grego T;Hardy M;Hourlier T;Hunt T;Izuogu OG;Lagarde J;Martin FJ;Martínez L;Mohanan S;Muir P;Navarro FCP;Parker A;Pei B;Pozo F;Ruffier M;Schmitt BM;Stapleton E;Suner MM;Sycheva I;Uszczynska-Ratajczak B;Xu J;Yates A;Zerbino D;Zhang Y;Aken B;Choudhary JS;Gerstein M;Guigó R;Hubbard TJP;Kellis M;Paten B;Reymond A;Tress ML;Flicek P
通讯作者:
Flicek P
DOI:
10.1093/bioinformatics/btz778
发表时间:
2020-03-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
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作者:
Strauss ME;Kirk PDW;Reid JE;Wernisch L
通讯作者:
Wernisch L
影响因子:
64.8
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La Manno G;Soldatov R;Zeisel A;Braun E;Hochgerner H;Petukhov V;Lidschreiber K;Kastriti ME;Lönnerberg P;Furlan A;Fan J;Borm LE;Liu Z;van Bruggen D;Guo J;He X;Barker R;Sundström E;Castelo-Branco G;Cramer P;Adameyko I;Linnarsson S;Kharchenko PV
通讯作者:
Kharchenko PV
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通讯作者:
Bar-Joseph Z