GFOLD: a generalized fold change for ranking differentially expressed genes from RNA-seq data.
about
JARID1B is a luminal lineage-driving oncogene in breast cancerA survey of the sorghum transcriptome using single-molecule long reads.Molecular characterization of host-specific biofilm formation in a vertebrate gut symbiontChromatin and extracellular vesicle associated sperm RNAsTranscriptomic and proteomic responses of sweetpotato whitefly, Bemisia tabaci, to thiamethoxamHologenome analysis of two marine sponges with different microbiomesSaccharina genomes provide novel insight into kelp biologyA transcriptomic analysis of Neurospora crassa using five major crop residues and the novel role of the sporulation regulator rca-1 in lignocellulase productionComparative transcriptome of wild type and selected strains of the microalgae Tisochrysis lutea provides insights into the genetic basis, lipid metabolism and the life cycleGenome analysis reveals insights into physiology and longevity of the Brandt's bat Myotis brandtiiModerated estimation of fold change and dispersion for RNA-seq data with DESeq2Geometrical comparison of two protein structures using Wigner-D functions.Odorant receptor-mediated sperm activation in disease vector mosquitoes.RNA-Seq vs dual- and single-channel microarray data: sensitivity analysis for differential expression and clusteringGene set enrichment analysis of RNA-Seq data: integrating differential expression and splicingNPEBseq: nonparametric empirical bayesian-based procedure for differential expression analysis of RNA-seq dataMOABS: model based analysis of bisulfite sequencing data.Gene Ranking of RNA-Seq Data via Discriminant Non-Negative Matrix Factorization.Network-Based Analysis of eQTL Data to Prioritize Driver Mutations.GOexpress: an R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression dataNetwork-based bioinformatics analysis of spatio-temporal RNA-Seq data reveals transcriptional programs underpinning normal and aberrant retinal development.Improving Gene-Set Enrichment Analysis of RNA-Seq Data with Small Replicates.RNA-seq analyses of multiple meristems of soybean: novel and alternative transcripts, evolutionary and functional implicationsTranscriptome of the inflorescence meristems of the biofuel plant Jatropha curcas treated with cytokininWhole-genome DNA methylation patterns and complex associations with gene structure and expression during flower development in Arabidopsis.The influences of PRG-1 on the expression of small RNAs and mRNAs.Genomic introgression mapping of field-derived multiple-anthelmintic resistance in Teladorsagia circumcinctaLong noncoding RNA expression profile changes associated with dietary energy in the sheep testis during sexual maturationSilencing of LINE-1 retrotransposons contributes to variation in small noncoding RNA expression in human cancer cells.Discovery and profiling of small RNAs responsive to stress conditions in the plant pathogen Pectobacterium atrosepticumBootstrap-based differential gene expression analysis for RNA-Seq data with and without replicatesThe putative cellodextrin transporter-like protein CLP1 is involved in cellulase induction in Neurospora crassa.Lactobacillus reuteri-specific immunoregulatory gene rsiR modulates histamine production and immunomodulation by Lactobacillus reuteriAntennal transcriptome profiles of anopheline mosquitoes reveal human host olfactory specialization in Anopheles gambiaeBMP signalling regulates the pre-implantation development of extra-embryonic cell lineages in the mouse embryo.MeSH ORA framework: R/Bioconductor packages to support MeSH over-representation analysis.Global genome and transcriptome analyses of Magnaporthe oryzae epidemic isolate 98-06 uncover novel effectors and pathogenicity-related genes, revealing gene gain and lose dynamics in genome evolution.A Phytophthora sojae cytoplasmic effector mediates disease resistance and abiotic stress tolerance in Nicotiana benthamianaRNA-seq Reveals Complicated Transcriptomic Responses to Drought Stress in a Nonmodel Tropic Plant, Bombax ceiba L.The DYT1-interacting proteins bHLH010, bHLH089 and bHLH091 are redundantly required for Arabidopsis anther development and transcriptome.
P2860
Q24299326-ACF36EEB-59E7-49CE-8AE4-60AE2F82B6EBQ27315231-1F7D5768-F956-43E7-8AF7-BC0C5844D7AFQ27317777-9B89536C-BF01-4672-AB4A-A3BE0A262AC4Q28385948-63D606A4-BFBD-48C2-9895-A239D7EC73DFQ28487892-AABC3178-3F41-416C-82F5-8F26F4FA2383Q28603548-457EF2E3-69DE-4BB4-AE73-4BCEC5F520B5Q28647981-B1FDDB9D-E5C5-4E55-BFAD-00F3467F31E1Q28649841-206DD415-E18C-45C0-A4B1-623AEEBDFDB3Q28659832-F8575601-8E38-4540-A483-C7209FD6837AQ28681454-3B8E5FEF-CC64-4302-B8CE-D6F5246480C7Q29547403-915577B5-C06A-404E-B2B5-EFCCA7C4D7F8Q30364899-65F9B50B-36FF-4727-B442-AF2B0BFD24F7Q30572557-B4218F76-2893-4EB7-925F-B613C617F925Q30582276-15678A2B-4EA0-4C2F-8C4F-DA697228E0CBQ30640271-52AF80D2-1B18-48DC-ADDE-FE259C6BEDD8Q30663634-B899C356-9E64-4043-BB6F-3A641D447BA9Q30763690-8EE0E213-8A5E-4252-AC3B-966E60148408Q30992177-28A4DFBF-0CBF-4A60-8075-6CD7CC3AB6A1Q31039375-DC7CB880-BF45-4B4C-814E-9BFFAEB77EC9Q31057102-50D59A0B-441E-4F70-BB96-B86528DE05C5Q31126223-9128ABEE-4A26-4A49-B695-458E1AD9984AQ31141658-96E23C3D-8FA9-4361-8340-B694E49C164DQ33358634-026B9EFE-EBEE-4C21-9DB5-71DD3200879FQ33359429-5AFA17E5-E6FE-4029-AC19-A10181B5A6D9Q33359443-31259FED-6105-409E-8F4B-8194A7AEFF01Q33669104-81AEDB0F-679C-48BD-B131-D630B80BE10CQ33897920-BE369862-2AC2-4E95-9823-F1BA792FC56CQ33899301-07EB7EB4-1936-4254-9B25-A911C374B61FQ34100872-3C3E15E7-4BAB-48FF-95F8-0124B5B70F6CQ34508525-7934645D-6A9A-40E9-97CE-C43C246BCE96Q34593280-C2633647-E187-4FC5-B78C-04EED46FF5E5Q34958736-70E72D2A-79A2-4981-96B8-5AE6715D352FQ35016688-4C04B168-8076-421D-A081-C798068970DAQ35030612-6B5A9A02-3EC4-41E7-BB10-43F0B6715EF1Q35114211-827B57EB-9FF9-4410-92BE-037EA229FCB0Q35129397-B65182C7-57B2-4B1B-BF3C-7E28CE828CF2Q35251104-C709072A-26F3-4E03-B128-E7D8F88595FFQ35679161-F8E88FB3-B023-42A3-BE0C-A36268D2E9F4Q35686745-A5BB177E-E9C6-4427-BDFA-47EFED1D4E91Q35717831-D635D341-C677-48A0-B3F9-FB761C68CFD5
P2860
GFOLD: a generalized fold change for ranking differentially expressed genes from RNA-seq data.
description
2012 nî lūn-bûn
@nan
2012 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
GFOLD: a generalized fold chan ...... essed genes from RNA-seq data.
@ast
GFOLD: a generalized fold chan ...... essed genes from RNA-seq data.
@en
type
label
GFOLD: a generalized fold chan ...... essed genes from RNA-seq data.
@ast
GFOLD: a generalized fold chan ...... essed genes from RNA-seq data.
@en
prefLabel
GFOLD: a generalized fold chan ...... essed genes from RNA-seq data.
@ast
GFOLD: a generalized fold chan ...... essed genes from RNA-seq data.
@en
P2093
P356
P1433
P1476
GFOLD: a generalized fold chan ...... essed genes from RNA-seq data.
@en
P2093
Clifford A Meyer
Jianxing Feng
X Shirley Liu
P304
P356
10.1093/BIOINFORMATICS/BTS515
P407
P50
P577
2012-08-24T00:00:00Z