18 skills found
gmontamat / GentunHyperparameter tuning for machine learning models using a distributed genetic algorithm
lovelyscientist / Rna Seq VaeVariational Auto-Encoder that generates synthetic gene expression data
maclean-lab / RVAgeneRecurrent Variational Auto gene encoder
suinleelab / DeepProfileDeepProfile framework, which learns a variational autoencoder (VAE) network from a vast quantity of publicly available gene expression samples and uses the learned network to encode a low-dimensional representation (LDR) for predicting complex phenotypes
ohdongha / OrthNetCLfinder-OrthNet, a pipeline to encode orthologs from multiple genomes and their evolutionary history into networks (OrthNets) based on co-linearity between them. OrthNets enable detection of all orthologous gene groups that share the same evolutionary history, using a search based on network topology
biojiang / CcneCarbapenemase-encoding gene copy number estimator
TiphaineCMartin / CoMET OriginalThe coMET package is a web-based plotting tool and R-based package to visualize different genome-wide association scans such as EWAS (epigenome-wide association scan) results in a genomic region of interest. coMET provides a plot of the EWAS association signal and visualisation of the methylation correlation between CpG sites (co-methylation). The coMET package also provides the option to annotate the region using functional genomic information, including both user-defined features and pre-selected features based on the Encode project. The plot can be customized with different parameters, such as plot labels, colours, symbols, heatmap colour scheme, significance thresholds, and including reference CpG sites. Finally, the tool can also be applied to display the correlation patterns of other genomic data, e.g. gene expression array data.
weberlab-hhu / GeenuFFSchema and API for a relational db that encodes gene models in an explicit, structured, and robust fashion.
GoSecure / Burp Fuzzy Encoding GeneratorQuickly test various encoding for a given value in Burp Intruder
ZhaohanM / FusionGDA[Briefings in Bioinformatics]* We propose a novel FusionGDA model, which uses a contrastive learning–based training strategy together with a fusion module to enrich the gene and disease semantic representations encoded by pre-trained language models.
cliffbb / Geppy NnEvolutionary NAS with cellular encoding of gene expression programming
PrateekMunjal / Variational Approaches For Auto Encoding Generative Adversarial NetworksAn implementation to reproduce the results presented in Alpha GAN paper.
aryashah2k / Method Of Analyzing Or Generating Sequences Of Encoding ElementsDocuments and POC Code for my Patent : Method Of Analyzing Or Generating Sequences Of Encoding Elements
JieZheng-ShanghaiTech / MiT4SLMiT4SL is the first machine learning model for cross cell line prediction of synthetic lethal (SL) gene pairs. It uses a novel method of triplet representation learning to encode cell line information by integrating multi-omics data of gene expression, PPI network and protein sequences, etc.
datduong / EncodeGeneOntologyEncoder for Gene Ontology terms from their definitions or positions on the GO tree
GreatChenLab / GNDCGene-encoded Natural Diverse Components Repository
marcel / JitjsonFaster JSON marshaling in Go by code gening encoders that don't rely on reflection
neurogenomics / ChromexpressWhich epigenetic factors are the best predictors of gene expression? An analysis using ENCODE data.
