cpsrCancer Predisposition Sequencing Reporter (CPSR)
Stars: ✭ 44 (+25.71%)
Mutual labels: cancer, report-generator
lung-image-analysisA basic framework for pulmonary nodule detection and characterization in CT
Stars: ✭ 26 (-25.71%)
Mutual labels: cancer
cancer-dataTCGA data acquisition and processing for Project Cognoma
Stars: ✭ 17 (-51.43%)
Mutual labels: cancer
leilaLibrería para la evaluación de calidad de datos, e interacción con el portal de datos.gov.co
Stars: ✭ 56 (+60%)
Mutual labels: report-generator
CellReportCellReport 是一个netcore实现的、以复杂统计报表为核心目标的制作、运行工具。支持数据看板、大屏制作。你可以使用数据库、excel文件、api服务、已有报表等为数据源,通过内置的集合函数组织数据,以类excel界面设计最终呈现结果。
Stars: ✭ 196 (+460%)
Mutual labels: report-generator
GeneFuseGene fusion detection and visualization
Stars: ✭ 90 (+157.14%)
Mutual labels: cancer
HK-journalistAn Auto Report Generator for Python Programs
Stars: ✭ 68 (+94.29%)
Mutual labels: report-generator
GeneTonicEnjoy your transcriptomic data and analysis responsibly - like sipping a cocktail
Stars: ✭ 66 (+88.57%)
Mutual labels: functional-enrichment-analysis
query2reportQuery2Report is a simple open source business intelligence platform that allows users to build report/dashboard for business analytics or enterprise reporting
Stars: ✭ 43 (+22.86%)
Mutual labels: report-generator
carboneFast and simple report generator, from JSON to pdf, xslx, docx, odt...
Stars: ✭ 810 (+2214.29%)
Mutual labels: report-generator
jobofferbackendThis project is a real-world example of DDD in a backend application It applies the concept of Entity, Value Object, Root, Aggregate, Services, Repositories and Ubiquitous Language.
Stars: ✭ 15 (-57.14%)
Mutual labels: report-generator
dsspApplication to assign secondary structure to proteins
Stars: ✭ 56 (+60%)
Mutual labels: proteins
contact mapContact map analysis for biomolecules; based on MDTraj
Stars: ✭ 27 (-22.86%)
Mutual labels: protein-protein-interaction
IARC-nfList of IARC bioinformatics nextflow pipelines
Stars: ✭ 34 (-2.86%)
Mutual labels: cancer
deeprankDeep learning framework for data mining protein-protein interactions using CNN
Stars: ✭ 99 (+182.86%)
Mutual labels: protein-protein-interaction
MEGADOCKAn ultra-high-performance protein-protein docking for heterogeneous supercomputers
Stars: ✭ 28 (-20%)
Mutual labels: protein-protein-interaction
ssGSEA2.0Single sample Gene Set Enrichment analysis (ssGSEA) and PTM Enrichment Analysis (PTM-SEA)
Stars: ✭ 153 (+337.14%)
Mutual labels: pathway-enrichment-analysis
lightdockProtein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
Stars: ✭ 110 (+214.29%)
Mutual labels: protein-protein-interaction
contextual-aiContextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference - thereby addressing the trust gap between such ML systems and their users. It does not refer to a specific algorithm or ML method — instead, it takes a human-centric view and approach to AI.
Stars: ✭ 81 (+131.43%)
Mutual labels: report-generator