Cluster declumping improves precision and recall by splitting clusters that correspond to multiple actual spots. by Jenny M. Vo-Phamhi (11250803)

K-RANK: AN EVOLUTION OF Y-RANK FOR MULTIPLE SOLUTIONS PROBLEM by Pedro V. J. L. Santos (7031486)

The control algorithm of MPC for SSI. by Ahmed Abdelaleem (19066115)

Out-of-sample accuracy vs. weighted <i>F</i>-score (comparison to ground-truth) for various clustering algorithms. by James Anibal (13899712)

Fig 2 - by Stan Kerstjens (13410092)

“…If the match between internal and external expression can be improved by moving into multiple different directions, or by transitioning to multiple different states, the single axonal branch is split into two new branches that continue to execute the same algorithm, but whose independent states may subsequently diverge. …”

Fig 3 - by Stan Kerstjens (13410092)

Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports by Olivier Q. Groot (9370461)

“…At a threshold of 0.90, NLP algorithm correctly identified multiple bone metastases in 117 of the 124 who had multiple bone metastases in the testing cohort (sensitivity 0.94) and yielded 3 false positives (specificity 0.82). …”

Presentation_1_Confounder-adjusted MRI-based predictors of multiple sclerosis disability.zip by Yujin Kim (483088)

“…Introduction<p>Both aging and multiple sclerosis (MS) cause central nervous system (CNS) atrophy. …”

IREC applied to combined UP-20-4 and UC-20-4. by Creighton M. Lisowski (22756444)

A CCD graph by Lars Berling (20715518)

Data_Sheet_1_Confounder-adjusted MRI-based predictors of multiple sclerosis disability.pdf by Yujin Kim (483088)

“…Introduction<p>Both aging and multiple sclerosis (MS) cause central nervous system (CNS) atrophy. …”

Data_Sheet_2_Confounder-adjusted MRI-based predictors of multiple sclerosis disability.xlsx by Yujin Kim (483088)

“…Introduction<p>Both aging and multiple sclerosis (MS) cause central nervous system (CNS) atrophy. …”

Performance of YORO in detecting internal domains of LTR retrotransposons using the Genomic Object Detection approach. by Simon Orozco-Arias (12065342)

FEP Protocol Builder: Optimization of Free Energy Perturbation Protocols Using Active Learning by César de Oliveira (6157808)

“…This has been driven by recent advances in small-molecule force fields and sampling algorithms combined with the availability of low-cost parallel computing. …”

Design of high throughput small molecule screening protocol to identify potential regulators of subtype refinement within cortical-like neurons. by Cameron Sadegh (11378606)

Polyanion sodium cathode materials dataset by Martin Hoffmann Petersen (13626778)

“…<p dir="ltr">We have created a polyanion sodium cathode materials dataset that includes optimizations of structures to the lowest energy, ab initio molecular dynamics simulations trajectories sampled at 1000K, and structures generated from ML-driven molecular dynamics simulation at 1000K using active learning algorithms. …”

Environmental DNA metabarcoding to monitor tropical reef fishes in Santa Marta by camille albouy (3800893)

“…</p><p><b>Swarm clustering: </b>We applied a second bioinformatics workflow, the clustering algorithm SWARM, which uses sequence similarity and abundance patterns to cluster multiple variants of sequences into MOTU (Molecular Operational Taxonomic Units; Mahé et al., 2014; Rognes et al., 2016). …”

Code by Baoqiang Chen (21099509)

“…</p><p><br></p><p dir="ltr">To obtain isoform-level MRD and AUC, we first used SLAM-Dunk's Read Separator module to split the BAM files into new mRNA and old mRNA. The new and old sequences were then re-mapped to the human GRCh38 genome using STAR, and counts were generated using Cufflinks. …”

Core data by Baoqiang Chen (21099509)

“…</p><p><br></p><p dir="ltr">To obtain isoform-level MRD and AUC, we first used SLAM-Dunk's Read Separator module to split the BAM files into new mRNA and old mRNA. The new and old sequences were then re-mapped to the human GRCh38 genome using STAR, and counts were generated using Cufflinks. …”