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Deep-Learning-for-Clustering-in-Bioinformatics
Deep Learning-based Clustering Approaches for BioinformaticsDrug-Drug-Interaction-Prediction
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM NetworkClassification_Benchmarks_Benglai_NLP
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM NetworkMultimodal-autoencoder-for-breast-cancer
Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics DataIntrusion-Detection-Spark-Conv-LSTM
Intrusion detection system with Apache Spark and deep learningNeural-Ensemble-Method-for-Cancer-Prediction
A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number VariationsBengali-Hate-Speech-Dataset
Dataset for identifying potential hates (e.g., political, religious, personal, gender abusive, geopolitical, etc.) for under-resourced Bengali language.Convolutional-embedded-networks
Convolutional Embedded Networks for Population Scale Clustering and Bio-ancestry InferencingDeepCOVIDExplainer
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray ImagesDeepHateExplainer
DeepHateExplainerRandomForestSpark
OncoNetExplainer
OncoNetExplainer: Explainable Prediction of Cancer Types Based on Gene Expression DataRecent-Papers-Knowledge-Graph-Embeddings
Some recent papers on Knowledge Graph EmbeddingXAI-for-bioinformatics
Explainable AI for BioinformaticsApacheLuceneDemo
Guided-Grad-Cam
Multimodal-Deep-Belief-Net-Breast-Cancer
Multimodal deep belief networks for breast cancer subtype and subvival rate predictionsOutlierDetectionUsingSpark2.0.0
2Stage-Big-Data-Analytics-SparkML-LSTM
Classification of Cardiac Arrhythmia and Indentifying Suspicious URLs with Spark ML and LSTM NetworksMultimodal-Hate-Bengali
TitanicSurvivalPredictionDataset
Titanic Survival Prediction DatasetApacheFlinkDemo
PacktMLwithSpark
SemanticRefreeCancer
Semantic Refree for Cancer GenomicsPHT_Train_Metadata
PHT_Train_MetadataHypotheissTestingSpark
AnomalyWithR
FHIR_Resource_Generator
FHIR resource generatorHeartDiseasePredictionUsingSparkWithJava
TCGAModel
RDF_Rule_Mining_Horn
SemanticRobot
CSVtoLibSVMConverterinR
CSV to LibSVM converterin using RMining-Maximal-Frequent-Pattern-Spark
Implementation of Static mining part of "Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach" Information Sciences, Volume 432, March 2018, Pages 278-300Love Open Source and this site? Check out how you can help us