The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci.
Gengjie JiaYu LiXue ZhongKanix WangMilton PividoriRabab AlomairyAniello EspositoHatem LtaiefChikashi TeraoMasato AkiyamaKoichi MatsudaDavid E. KeyesHae Kyung ImTakashi GojoboriYoichiro KamataniMichiaki KuboNancy J. CoxJames A. EvansXin GaoAndrey RzhetskyPublished in: Nat. Comput. Sci. (2023)
Keyphrases
- high dimensional
- low dimensional
- clinically relevant
- genetic variation
- single nucleotide polymorphisms
- parameter space
- higher dimensional
- high dimensional spaces
- complex diseases
- input space
- genome wide
- genetic algorithm
- lower dimensional
- human subjects
- sequence data
- dimensionality reduction
- nearest neighbor
- human genome
- high throughput
- early diagnosis
- disease diagnosis
- fault diagnosis
- database
- high dimensional feature space
- neurodegenerative diseases
- association studies
- model based diagnosis
- manifold learning
- high dimensionality
- vector space
- similarity search
- multi dimensional
- feature space
- neural network
- databases