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Min Li - Developer • Doctorate/PhD
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Min Li

Developer • Doctorate/PhD

Central South University • Changsha, China

Skills and expertise

Omics and technologies

  • ChIP-seq analysis
  • DNA methylation array analysis
  • Protein interaction analysis

Programming languages

  • C++

Languages

  • English

Tools maintained

dSimer

Desktop

dSimer

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Furnishes a set of functions for measuring disease-disease similarity. dSimer offers a standard cosine similarity measure and more than five function-based methods. It permits visualization of…

BiXGBoost

Desktop

BiXGBoost / Bidirectional XGBoost

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Recreates gene regulatory network (GRN) from time-series gene expression datasets. BiXGBoost considers the characteristics of time series expression and two local structures, called bidirectional…

SCOP

Desktop

SCOP

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Permits users to classify contigs. SCOP is a scaffolding method that optimizes the scaffold graph by splitting the vertices and removing edges. This application employs alignment results and…
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PECC

Algorithm

PECC

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Identifies the miss-assembly errors in contigs based on the paired-end-read distribution and ameliorates the performance of scaffolding results. PECC has four major functions: i) mapping paired-end…

DyNetViewer

Desktop

DyNetViewer

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Serves for dynamic network construction analysis and visualization. DyNetViewer allows users to observe how the network changes over time. Node centrality analysis and cluster analysis can also be…
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KBMF-MDI

Algorithm

KBMF-MDI / Kernelized Bayesian matrix factorization with multiple-kernel learning for miRNA-disease association inference

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Assists users to study the associations between miRNAs and diseases based on their similarities. KBMF-MDI uses sequence and function information of miRNAs to estimate similarity in miRNAs. This…
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ISEA

Desktop

ISEA / Iterative Seed-Extension Algorithm

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Provides an iterative seed-extension algorithm for de novo assembly. ISEA comports five steps: (i) preprocessing, (ii) graph and seed building, (iii) contig extension, (iv) merging and (v)…

IPCA

Desktop

IPCA

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A clustering algorithm based on a new topological structure for identifying complexes in large protein interaction networks. The algorithm IPCA is applied to the protein interaction network of…

HC-PIN

Desktop

HC-PIN

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A fast hierarchical clustering algorithm based on the local metric of edge clustering value which can be used both in the unweighted network and in the weighted network. The proposed algorithm HC-PIN…