日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

A machine learning framework for supervised treatment response prediction from tumor transcriptomics: A large-scale pan-cancer study

基于肿瘤转录组学的机器学习框架在监督式治疗反应预测中的应用:一项大规模泛癌研究

Pal, Lipika Ray; Gertz, Edward Michael; Ulhas Nair, Nishanth; Mukherjee, Sumit; Patiyal, Sumeet; Cantore, Thomas; Campagnolo, Emma M; Chang, Tian-Gen; Dhruba, Saugato Rahman; Kim, Yewon; Shulman, Eldad David; Rajagopal, Padma Sheila; Hoang, Danh-Tai; Schäffer, Alejandro A; Ruppin, Eytan

Genetic mapping of developmental trajectories for complex traits and diseases

复杂性状和疾病发育轨迹的遗传图谱

Shulman, Eldad David; Elkon, Ran

Systematic identification of functional SNPs interrupting 3'UTR polyadenylation signals

系统性鉴定干扰3'UTR多聚腺苷酸化信号的功能性SNP

Shulman, Eldad David; Elkon, Ran

Cell-type-specific analysis of alternative polyadenylation using single-cell transcriptomics data

利用单细胞转录组学数据进行细胞类型特异性选择性多聚腺苷酸化分析

Shulman, Eldad David; Elkon, Ran