mitharuka

vscode-R

R Extension for Visual Studio Code

spatial_hpc

Repository for the spatial (U01) hippocampus (hipc) project

curriculum

swdb_2022

Repository to host materials for the summer workshop on the dynamic brain

GO-Compass

Visual Navigation of Multiple Lists of GO terms

simulatr

simulatr-mtl

MeRipBox

Analyze RNA modifications by sequencing data: data processing, alignment, peak calling, transcript quantification and motif search

Practical-Time-Series-Analysis-by-Aileen-Nielsen

Contains datasets, chapter wise exercises

LFQ-Analyst

The repo for LFQ-Analyst

dcss-confusion-analysis-agent

pycaret

An open-source, low-code machine learning library in Python

voicebook

🗣️ A book and repo to get you started programming voice computing applications in Python (10 chapters and 200+ scripts).

voice_datasets

🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).

lstm-attention

Attention-based bidirectional LSTM for Classification Task (ICASSP)

StressAffectDetection

Code for Stress and Affect Detection on Resource-Constrained Devices

sentiment-predictor-for-stress-detection

Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed), with high stress seen as an indication of deception. In this work, we propose a deep learning-based psychological stress detection model using speech signals. With increasing demands for communication between humans and intelligent systems, automatic stress detection is becoming an interesting research topic. Stress can be reliably detected by measuring the level of specific hormones (e.g., cortisol), but this is not a convenient method for the detection of stress in human- machine interactions. The proposed algorithm first extracts Mel- filter bank coefficients using pre-processed speech data and then predicts the status of stress output using a binary decision criterion (i.e., stressed or unstressed) using CNN (Convolutional Neural Network) and dense fully connected layer networks.

TRESS

Toobox for RNA Methylation Sequencing Analysis

RADAR

The project for analyzing differential methylation of MeRIP-seq data

ActivePathways

Integrative pathway enrichment analysis of multivariate omics data

MeRIPseqPipe

MeRIPseqPipe：An integrated analysis pipeline for MeRIP-seq data based on Nextflow.

leafcutter

Annotation-free quantification of RNA splicing. Yang I. Li, David A. Knowles, Jack Humphrey, Alvaro N. Barbeira, Scott P. Dickinson, Hae Kyung Im, Jonathan K. Pritchard

ChIPseeker

:dart: ChIP peak Annotation, Comparison and Visualization

TAMPOR

Tunable Approach for Median Polish of Ratio -- Biological Abundance Batch Effect Removal

Hippo_Subfields

Codes for Hippocampal Subfields project

TranscriptomeAnalysis

Tutorials for bioinformatics and data analysis RNA-Seq transcriptome data focused on non-model systems

outlyr

R function to treat outliers.

MiCM-StatsPython-F21

MiCM Statistics with Python Workshop - Fall 2021

compgen2021

beyond-bar-and-box-plots

Slides, recording and hands-on tutorial for the USGS Data Science webinar