HARI YALAMANCHILI to Algorithms
This is a "connection" page, showing publications HARI YALAMANCHILI has written about Algorithms.
Connection Strength
1.197
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PolyA-miner: accurate assessment of differential alternative poly-adenylation from 3'Seq data using vector projections and non-negative matrix factorization. Nucleic Acids Res. 2020 07 09; 48(12):e69.
Score: 0.431
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DDGni: dynamic delay gene-network inference from high-temporal data using gapped local alignment. Bioinformatics. 2014 Feb 01; 30(3):377-83.
Score: 0.273
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A novel neural response algorithm for protein function prediction. BMC Syst Biol. 2012; 6 Suppl 1:S19.
Score: 0.248
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PolyAMiner-Bulk is a deep learning-based algorithm that decodes alternative polyadenylation dynamics from bulk RNA-seq data. Cell Rep Methods. 2024 Feb 26; 4(2):100707.
Score: 0.138
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An ultra-fast and scalable quantification pipeline for transposable elements from next generation sequencing data. Pac Symp Biocomput. 2018; 23:168-179.
Score: 0.090
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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: 0.017