HARI YALAMANCHILI to Gene Expression Profiling
This is a "connection" page, showing publications HARI YALAMANCHILI has written about Gene Expression Profiling.
Connection Strength
1.137
-
Data Analysis Pipeline for RNA-seq Experiments: From Differential Expression to Cryptic Splicing. Curr Protoc Bioinformatics. 2017 09 13; 59:11.15.1-11.15.21.
Score: 0.357
-
SpliceNet: recovering splicing isoform-specific differential gene networks from RNA-Seq data of normal and diseased samples. Nucleic Acids Res. 2014 Sep; 42(15):e121.
Score: 0.287
-
DDGni: dynamic delay gene-network inference from high-temporal data using gapped local alignment. Bioinformatics. 2014 Feb 01; 30(3):377-83.
Score: 0.274
-
Forniceal deep brain stimulation induces gene expression and splicing changes that promote neurogenesis and plasticity. Elife. 2018 03 23; 7.
Score: 0.093
-
Inferring gene regulatory networks by integrating ChIP-seq/chip and transcriptome data via LASSO-type regularization methods. Methods. 2014 Jun 01; 67(3):294-303.
Score: 0.070
-
A Comprehensive and Integrative Approach to MeCP2 Disease Transcriptomics. Int J Mol Sci. 2023 Mar 07; 24(6).
Score: 0.033
-
Apparent bias toward long gene misregulation in MeCP2 syndromes disappears after controlling for baseline variations. Nat Commun. 2018 08 13; 9(1):3225.
Score: 0.024