Performance of ENQUIRE’s gene normalization algorithm. by Luca Musella (19986312)

Differences in computing performance between ENQUIRE’s gene normalization algorithm and GNorm2-Bioformer. by Luca Musella (19986312)

The relevant data file for this article. by Linsha Liu (20378293)

Expression and functional analysis of MRGs. by Xuefen Lin (17785367)

Subjects:

Functional pathways and evaluation of mutation between the two MRG-related risk groups. by Xuefen Lin (17785367)

Subjects:

Cell-TRACTR detects cells in the first frame at time t 0. Object queries predicted to be a “cell” are converted to track queries. For Track Group Denoising (TGD), random noise is a... by Owen M. O’Connor (11965460)

Relevant computed image data. by Zhaoyu Ku (20660546)

City driving speed query results. by Meilin Zhu (688698)

Cells are initially detected in frame t₀ and then tracked to frame t₁. Object queries are processed in the first layer of the decoder for object detection. In... by Owen M. O’Connor (11965460)

Summary of relevant works. by Bashir Olaniyi Sadiq (22478011)

Number of tweets collected per query and type. by Sylvia Iasulaitis (8301189)

Example illustrating how object and track queries interact using an attention map processed by Cell-TRACTR across two subsequent frames. The schematic displays the actual output al... by Owen M. O’Connor (11965460)

Algorithm framework. by Zongjin Li (38031)

Subjects:

The relevant code in the manuscript can be found in the supporting information data file. by Xini Fang (20861990)

Model-relevant variable data for external patients. by Lei Gao (6566)

Relevant data underlying the findings described in manuscript. by Lin Qi (128224)

Data generation algorithm. by Aluwani Ramalata (21262977)

Relevant Parameters. by Dongyan Wang (195482)

Example of a knowledge query. by Bei Li (90587)

Data Sheet 1_Algorithmic esthetics meets human intuition: the synergy of innovation and relevance shapes sustained attention.pdf by Wen Guan (5612195)