- 👋 Hello all, I’m siva
- 👀 I’m a Bioinformatician specialised in Machine learning and i am interested in Deep learning
- 🌱 I wish to analyse structured and unstructured Data along with statistical modelling
- 💞️ Wish to collaborate of similar interests
- 📫 Email/facebook @indiangene
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International Institute of Cell and Molecular Biology
- Warsaw
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23:57
(UTC +01:00) - @indiangene
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GeneExpression-MachineLearning
GeneExpression-MachineLearning PublicSupervised Machine Learning for Gene Expression Analysis
Jupyter Notebook
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small-RNA-Seq-Analysis
small-RNA-Seq-Analysis Publicscripts and resources for performing miRNA sequencing analysis using tools like mirPRo and miRDeep2. Explore the code to process reads, map them to the genome, quantify known miRNAs, identify novel…
Shell 2
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miRNASeq-DE-Analysis-QC
miRNASeq-DE-Analysis-QC PublicPerforming RNA-Seq data analysis and quality control using DESeq2 in R.
R 1
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RBP-Data-Processing
RBP-Data-Processing PublicRBP-Data-Processing is a repository containing R code for processing RNA-binding protein (RBP) datasets. The code imports the data table, performs data cleaning and transformation operations, and s…
R
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RNASeq-Analysis-JunctionSeq-QoRTs
RNASeq-Analysis-JunctionSeq-QoRTs PublicThis repository provides scripts for RNA-Seq data analysis using JunctionSeq and QoRTs, enabling quality control, differential splicing analysis, and generation of browser tracks.
R
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