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Jie Wang's Projects

saqe icon saqe

Systematic Analysis for Quantification of Expression

scgmai icon scgmai

scGMAI: a Gaussian mixture model for clustering single-cell RNA-seq data based on deep autoencoder

scode icon scode

SCODE : an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation

sitecopy icon sitecopy

sitecopy is a tool that facilitates personal website backup and network data collection

smudgeplot icon smudgeplot

Biodiversity Genomics Academy 2023: Understanding k-mers and ploidy using Smudgeplot

snakepipes icon snakepipes

Customizable workflows based on snakemake and python for the analysis of NGS data

soapdenovo2 icon soapdenovo2

Next generation sequencing reads de novo assembler.

speedseq icon speedseq

A flexible framework for rapid genome analysis and interpretation

sponge icon sponge

Sparse Partial correlation ON Gene Expression - an R package for fast and robust ceRNA network inference

stlfr_longhap icon stlfr_longhap

A tool written for phasing variants called from stLFR data.

supersfs icon supersfs

This is a tool for speculation of ancestral allel, calculation of sfs and drawing its bar plot. It is easy-to-use and runing fast. What you should prepare is the phased vcf file containg the data of populations you interested and the outgroup, the outgroup name file, and the annotation file. Enjoy it!!!

tajimasdacrossspecies icon tajimasdacrossspecies

calculate genetic diversity within multiple species using both k-mer based and snp-based approaches

te_density icon te_density

Python script calculating transposable element density for all genes in a genome. Publication: https://mobilednajournal.biomedcentral.com/articles/10.1186/s13100-022-00264-4

tefinder icon tefinder

A bioinformatics tool for detecting novel transposable element insertions

telr icon telr

TELR is a fast non-reference transposable element detector from long read sequencing data.

temp icon temp

TEMP is a software package for detecting transposable elements (TEs) insertions and excisions from pooled high-throughput sequencing data

temp2 icon temp2

Algorithm to detect germline and de novo transposon insertions

twitter-sentimental-analysis icon twitter-sentimental-analysis

I have used Multinomial Naive Bayes, Random Trees Embedding, Random Forest Regressor, Random Forest Classifier, Multinomial Logistic Regression, Linear Support Vector Classifier, Linear Regression, Extra Tree Regressor, Extra Tree Classifier, Decision Tree Classifier, Binary Logistic Regression and calculated accuracy score, confusion matrix and ROC(Receiver Operating Characteristic) and AUC(Area Under Curve) and finally shown how they are classifying the tweet in positive and negative.

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