The DCM functional elements. by Paul Van Liedekerke (473296)

Image_1_Spectral density-based clustering algorithms for complex networks.pdf by Taiane Coelho Ramos (6207410)

The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. by Solomon Shiferaw Beyene (9143178)

Python cv coding screenshots of all developed fingerprints on distinct surfaces. by Nisha Yadav (366131)

LOTUS: A single- and multitask machine learning algorithm for the prediction of cancer driver genes by Olivier Collier (7444844)

Decision Graph to compute clusters according to Density Peak Clustering algorithm (Ref. [92]). by Rajdeep Kaur Grewal (12563150)

“…[<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010114#pcbi.1010114.ref092" target="_blank">92</a>]. For both, Model 1 (A) and Model 2 (B), we observed only one such cluster center to exist implying the presence of a single minimum cost function in the parameter range explored by the PSO. …”

IPhCs regenerate after ablation of Lgr5⁺ cells. by Tomokatsu Udagawa (11675636)

Subjects:

Gene content overlap in <i>RNF43 G659fs</i> mutation-specific pathways. by Alexis M. Thornton (11068403)

Subjects:

The schematic view of the Radial Basis Function (RBF) algorithm. by Mohsen Yoosefzadeh-Najafabadi (6917399)

An average number of beta turns in a loop (isolated GGG included in the loops) as a function of loop length. by Maxim Shapovalov (365188)

Raw task performance on both experiments, with respect to conditions. by Anis Najar (9745561)

GLAST-Cre⁺ cells from the GER mitotically regenerate IPhCs. by Tomokatsu Udagawa (11675636)

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Comparison of edge detector and CHT in detecting droplets. by Manibarathi Vaithiyanathan (6655274)

Connectivity of dysregulated proteins in SCA1 cells. by Aimilia-Christina Vagiona (17584758)

Efficient algorithms to discover alterations with complementary functional association in cancer by Rebecca Sarto Basso (6728921)

“…In addition, our algorithms are much faster than the state-of-the-art, allowing the analysis of large datasets of thousands of target profiles from cancer cell lines. …”

Bridge: A Graph-Based Algorithm to Analyze Dynamic H‑Bond Networks in Membrane Proteins by Malte Siemers (5127779)

“…Membrane proteins that function as transporters or receptors must communicate with both sides of the lipid bilayer in which they sit. …”

Constructing the dynamical law. by Robert Marsland (8616483)

Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

Image_1_Novel Survivin Peptides Screened With Computer Algorithm Induce Cytotoxic T Lymphocytes With Higher Cytotoxic Efficiency to Cancer Cells.tiff by Qiuqiang Chen (9332735)

“…More importantly, SV_95–specific CTLs with higher cytotoxicity were successfully induced with both SV_95–6 and SV_95–7 peptides, which significantly eliminated target cells (not only SV_95–1 peptide pulsed T2 cells, but also both HLA-A2 and SV positive cancer cells) when compared to those generated with natural SV_95–1 peptide and TIL2080 cells. …”