19 skills found
panchishin / GeneticalgorithmA fully generalized implementation of the Genetic Algorithm usable on any json based Phenotype
syau-miao / Label3DMaizeAn interactive corn plant point cloud segmentation and annotation software (version 2.0)
Merck / Line Of Therapy AlgorithmThis is the Line of Therapy Algorithm, as described in the paper "Temporal phenotyping by mining healthcare data to derive lines of therapy for cancer" pending submission in the Journal of Biomedical Informatics.
gwh120104 / DeepmetabolismDeepMetabolism is a deep learning algorithm to predict phenotype from genome sequencing
spiros / Ukb Biomarker PhenotypesPhenotyping algorithms for common biomarkers in primary care EHR for UK Biobank
Computational-Plant-Science / DIRTDigital Imaging of Root Traits: Extract trait measurements from images of monocot and dicot roots.
ansariazim / TreeBreakerAlgorithm to divide a phylogenetic tree into segments based on phenotypes at the leaves of the tree
OHDSI / PheValuatorAn R package for evaluating phenotype algorithms.
Computational-Plant-Science / 3D Model Reconstruction DemoImplementation of the 3D reconstruction pipeline optimized for plant branching structures.
cma2015 / G2PG2P is an integrated genomic selection (GS) package for predicting phenotypes from genotypes. It includes 15 GS algorithms and 13 evaluation measurements.
hornauerp / DeePhysDeePhys was created to facilitate the analysis of extracellular recordings of neuronal cultures using high-density microelectrode arrays (HD-MEAs)
samperochon / Perochon Et Al Nature Medicine 2023Algorithms associated with the submission of the paper titled "Early detection of autism using digital behavioral phenotyping" published in Nature Medicine.
luyang-ai4med / POPDxPython implementation of POPDx - Predictions for unseen, rare, and common labels.
Computational-Plant-Science / 3D Model Traits DemoComputation of root phenes from 3D point clouds.
spiros / PomegranateukbiobankRepository with phenotyping algorithms for UK Biobank.
shaoweinuaa / DGMMIdentifying Multimodal Intermediate Phenotypes between Genetic Risk Factors and Disease Status in Alzheimer’s Disease Author: Xiaoke Hao,robinhc@163.com "DGMM" is a package written in Matlab and the name stands for "Diagnosis-guided Multi-modality Phenotype Associations" . This repository contains the following files: DGMM_main.m is the main function of the DGMM package. f_myCV.m Performs cross-validation to choose an appropriate penalty parameter and for the 5 fold test. f_lapLabelDistMatrix.m calculates the Laplacian matrix. f_GMTM_APG.m is our proposed algorithm that involves multi-task learning and manifold learning. These "f_*.m" files are all sub-routines of the DGMM main function.
drseb / PhenoppositesProject to generate phenotype opposite_of relationships and investigate the effect on ontology-based algorithms
LaurenceHowe / CoronaryDiseaseAlgorithmAn algorithm for deriving coronary disease phenotypes in UK Biobank.
HuLiSyspharm / NetDecoderNetDecoder was developed in the Hu Li lab (http://www.hulilab.org) at Mayo Clinic. NetDecoder is a network biology-based computational platform designed to integrate transcriptomes, interactomes and gene ontologies to identify phenotype-specific subnetworks. NetDecoder is based on network flow algorithm and formulated as a minimum-cost flow optimization problem to identify and prioritize paths and key regulators within disease specific subnetworks. NetDecoder is designed to capture molecular switches and infer disease-specific networks to better understand pathways and identify key regulators that contribute to a disease phenotype. NetDecoder has extensive documentation and tutorial with free software package downloadable for the research communities. You can use NetDecoder on-line by uploading your data here, or you can download and run NetDecoder locally on your computer. Please, go to our website http://netdecoder.org to obtain more information about NetDecoder.
