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

Improving atlas-scale single-cell annotation models with hierarchical cross-entropy loss

利用分层交叉熵损失改进图谱尺度的单细胞注释模型

Cultrera di Montesano, Sebastiano; D'Ascenzo, Davide; Raghavan, Srivatsan; Amini, Ava P; Winter, Peter S; Crawford, Lorin

Deep learning guided design of protease substrates

基于深度学习的蛋白酶底物设计

Martin-Alonso, Carmen; Alamdari, Sarah; Samad, Tahoura S; Yang, Kevin K; Bhatia, Sangeeta N; Amini, Ava P

Trainable subnetworks reveal insights into structure knowledge organization in protein language models

可训练子网络揭示了蛋白质语言模型中结构知识组织的深刻见解

Vinod, Ria; Amini, Ava P; Crawford, Lorin; Yang, Kevin K

Concomitant activation of D(1) dopamine and α(2A) adrenergic receptors improves cognition compared with methylphenidate

与哌甲酯相比,同时激活D(1)多巴胺受体和α(2A)肾上腺素能受体可改善认知功能。

Bransom, Luke; Bassett, Ava P; Zhou, Mi; Mailman, Richard B; Yang, Yang

CREB5 regulates stem cell-like transcriptional programs to enhance tumor progression in prostate cancer

CREB5 调控干细胞样转录程序,从而促进前列腺癌的肿瘤进展

Makovec, Allison; Phoenix, John T; Bergom, Hannah E; Boytim, Ella; Gustafson, Ava P; Deacon, Aiden; Tape, Sydney; Ali, Atef; Ludwig, Megan; Pitzen, Samuel P; Moline, David; Richter, Camden; Longie, Hudson; Su, Mei-Chi; Jena, Sampreeti; Likasitwatanakul, Pornlada; Drake, Justin M; Huang, R Stephanie; Hahn, William C; Rennhack, Jonathan P; Dehm, Scott M; Kregel, Steven; Antonarakis, Emmanuel S; Hwang, Justin

Scalable, compressed phenotypic screening using pooled perturbations

利用合并扰动进行可扩展、压缩的表型筛选

Nuo Liu # ,Walaa E Kattan # ,Benjamin E Mead # ,Conner Kummerlowe # ,Thomas Cheng ,Sarah Ingabire ,Jaime H Cheah ,Christian K Soule ,Anita Vrcic ,Jane K McIninch ,Sergio Triana ,Manuel Guzman ,Tyler T Dao ,Joshua M Peters ,Kristen E Lowder ,Lorin Crawford ,Ava P Amini ,Paul C Blainey ,William C Hahn ,Brian Cleary ,Bryan Bryson ,Peter S Winter ,Srivatsan Raghavan ,Alex K Shalek

Zero-shot evaluation reveals limitations of single-cell foundation models

零样本评估揭示了单细胞基础模型的局限性

Kedzierska, Kasia Z; Crawford, Lorin; Amini, Ava P; Lu, Alex X

Artificial variables help to avoid over-clustering in single-cell RNA sequencing

人工变量有助于避免单细胞RNA测序中的过度聚类。

DenAdel, Alan; Ramseier, Michelle L; Navia, Andrew W; Shalek, Alex K; Raghavan, Srivatsan; Winter, Peter S; Amini, Ava P; Crawford, Lorin

Benchmarking uncertainty quantification for protein engineering

蛋白质工程不确定性量化基准测试

Greenman, Kevin P; Amini, Ava P; Yang, Kevin K

Exploring associations between estrogen and gene candidates identified by coronary artery disease genome-wide association studies

探索雌激素与冠状动脉疾病全基因组关联研究中鉴定的候选基因之间的关联

Aminbakhsh, Ava P; Théberge, Emilie T; Burden, Elizabeth; Adejumo, Cindy Kalenga; Gravely, Annabel K; Lehman, Anna; Sedlak, Tara L