Biological data are accumulating at a faster rate, but interpreting them still remains a problem. Classifying biological data into distinct groups is the first step in understanding them. Data classif

NIAID Data Ecosystem30

Data supplement to Manuscript "A 5-Gene Signature (PROGRESS-STYCK) predicts ICU Admission and Death in Community Acquired Pneumonia"

社区获得性肺炎预后预测

基因表达特征

Supplementary RNAseq data for correlation analysis with HT12v4 Chip data This refers to the publication A 5-Gene Signature (PROGRESS-STYCK) predicts ICU Admission and Death in Community Acquired P

NIAID Data Ecosystem20

Best gene subset found using PAMR in FSHD-DB1.

基因表达特征

面肩肱型肌营养不良症（FSHD）生物标志物

Best gene subset found using PAMR in FSHD-DB1.

NIAID Data Ecosystem50

Identification of Single- and Multiple-Class Specific Signature Genes from Gene Expression Profiles by Group Marker Index

基因表达特征

癌症生物标志物

Informative genes from microarray data can be used to construct prediction model and investigate biological mechanisms. Differentially expressed genes, the main targets of most gene selection methods,

Figshare2016-01-18 更新30

Apostichopus japonicus Transcriptome or Gene expression. Apostichopus japonicus

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