Stephanie Simmons Zuilkowski, Sarah Quinones, Hassan Kihanzah, Graca Marwerwe, Leah Prencipe, Lusajo Kajula, Tia Palermo
Economic vulnerabilities, mental health, and coping strategies among Tanzanian youth during COVID-19
BMC public health
network representation give holistic view relationships biomedical entities network topology link prediction estimates probability link formation pair unconnected nodes drug discovery process link prediction method enables detection connectivity patterns also predicts effects one biomedical entity multiple entities simultaneously vice versa useful many applications authors provide comprehensive overview network link prediction drug discovery link prediction methodologies similaritybased approaches embeddingbased approaches probabilistic modelbased approaches preprocessing methods summarized examples addition describing properties limitations authors discuss applications link prediction drug discovery based relationship biomedical concepts link prediction powerful method infer existence novel relationships drug discovery however link prediction hampered sparsity data lack negative links biomedical networks preprocessing balance positive negative samples collection data authors believe possible develop reliable link prediction methods become invaluable tools successful drug discovery