IDEN algorithm and gene pair-based drug repurposing. by Yao Jiang (1469614)

Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

Subjects:

An example of pairwise distance tables between three sites where each site has three nodes: Site₁={<i>A</i>, <i>B</i>, <i>C</i>}, Site₂={<i>a</i>, <i>b</i>, <... by Shuwen Wang (457921)

Analysis of full-length Ste5 (1–917) coding sequence with bioinformatics algorithms. by Francis W. Farley (17199744)

Original paper-based support for item 18 (A), 19 (B) and 22 (C) and screenshots of the digital interfaces of the item 18 (D), 19 (E) and 22 (F). by Dominique Vincent-Genod (20552594)

Subjects:

Estimated time responses for <i>k</i> = 1, 000 spatial position for one realization with 3rd order FluoIR model, SNR = 40 dB and PSNR = 10 dB: (top) FluoDs, (middle) FluoIRs, and (... by Daniel U. Campos-Delgado (10325866)

An Example for applying LCDG algorithm MRI 3-D volumes. by Samineh Mesbah (4506406)

“…<p>LCDG algorithm output on (a) exemplary 3D FS-MRI image data; (b) probability density functions of the image voxels in Fig 2A, as determined empirically, and as approximated via LCDG using two dominant DGs; (c) the deviations (standard and absolute) between the empirical and estimated marginal probability density functions in Fig 2B; (d) LCDG algorithm output on the dominant and subordinate DGs in the image data in Fig 2A; (e) the final estimated LCDG model of the empirical density function; and (f) the final LCDG output of the conditional probability density functions of light tissue (muscle) and dark tissue (fat) intensities and the empirical density function.…”

Assessment of the level of difficulty of the task from subjects (A) and therapists (B) when using the tablet compared to the paper-based support during the item 18, 19 and 22 compl... by Dominique Vincent-Genod (20552594)

Subjects:

Comparative experiments of large size algorithms. by Yanli Hou (6561536)

“…All improvement points are fused in turn and ablation experiments are performed. The YOLO-B algorithm improves 1.9% in accuracy, 7.3% in recall, 3.8% in map_0.5, and 4.6% in map_0.5:0.95 compared to YOLOv5s. …”

Comparison of the smooth-index (‘SI’) algorithm with feedback arc set (‘FAS’) sorting. by Alexander Borst (32619)

Automatic cropping algorithm. by Thomas W Georgi (12427189)

Workflow of the BOMS algorithm. by Ocima Kamboj (21533199)

Constructing the dynamical law. by Robert Marsland (8616483)

The details of the Scelestial algorithm. by Mohammad-Hadi Foroughmand-Araabi (6658772)

“…<p>The inputs to the Scelestial algorithm are a) a set of sequences <i>S</i>, b) the degree of restriction of the restricted Steiner tree <i>k</i>. …”

The optimal contact/quarantine rates from the family of functions (4) and (5) for Hainan and Xinjiang. by Mengqi He (5753525)

“…(b, e) Root mean square error(), corresponding to fitting the time-dependent quarantine rate learned by TDINN algorithm using <i>q</i>₁(<i>t</i>), <i>q</i>₂(<i>t</i>) and <i>q</i>₃(<i>t</i>) in Hainan and Xinjiang. …”

Examples of parametric 2d-spatial varying functions. by Guixiang Zhang (383795)

Three-dimensional function image for testing algorithm performance. by Jianpeng Zhang (528185)

“…<p>Three-dimensional function image for testing algorithm performance.…”

Average function evaluation times of the three optimization algorithms. by Shuhui Yu (1535500)

“…<p>Average function evaluation times of the three optimization algorithms.…”

Depiction of the theory, can sequence infer function? by Ashley I. Heinson (8124374)

Polymorphic exonic rare variants identified through sequencing, stratified by function^b'*'. by Nicole D. Dueker (3390164)