Data. by Da Young Shin (21474314)

Fig 2 - by Anant Shinde (3954662)

Sanger sequencing of the Mp3g19030.1 gene in Mp<i>thar</i> mutants and amino acid alignment of RTN4IP1 homologues. by Chloe Casey (14341756)

Amino acid alignments of PAM16 homologues and mutations identified in Mp<i>pam16</i> mutants. by Chloe Casey (14341756)

Temporal-to-Nasal Midpupil Lid Distance Ratios. by Da Young Shin (21474314)

Fig 4 - by Bin Liu (5899)

Functional enrichment of protein subnetworks in HIV-1 producer cells after co-culture with uninfected cells. by James W. Bruce (10204626)

Supplementary file 1_Hamiltonian formulations of centroid-based clustering.pdf by Myeonghwan Seong (21159605)

“…However, defining similarity is often ambiguous, making it challenging to determine the most appropriate objective function for a given dataset. Traditional clustering methods, such as the k-means algorithm and weighted maximum k-cut, focus on specific objectives—typically relying on average or pairwise characteristics of the data—leading to performance that is highly data-dependent. …”

Operating with taxonomic trees. by Jose Manuel Martí (5369939)

Analysis of ZFP92 binding motif. by Anna B. Osipovich (8742198)

IEM reconstruction of EEG recorded while subjects performed the 2-back task (<i>N</i> = 42, combining data from the pilot study and the preregistered experiment from Wan et al. [13... by Quan Wan (1329666)

Comparing 22 Popular Phosphoproteomics Pipelines for Peptide Identification and Site Localization by Marie Locard-Paulet (8250063)

Comparing 22 Popular Phosphoproteomics Pipelines for Peptide Identification and Site Localization by Marie Locard-Paulet (8250063)

Comparing 22 Popular Phosphoproteomics Pipelines for Peptide Identification and Site Localization by Marie Locard-Paulet (8250063)

Comparing 22 Popular Phosphoproteomics Pipelines for Peptide Identification and Site Localization by Marie Locard-Paulet (8250063)

Table_1_Screening and Identification of Key Microenvironment-Related Genes in Non-functioning Pituitary Adenoma.docx by Jing Guo (102972)

“…We identified 497 intersection DEGs based on the high vs. low immune/stromal score groups. Function enrichment analyses of 497 DEGs and hub genes from the PPI network showed that these genes are mainly involved in the immune/inflammatory response, T cell activation, and the phosphatidylinositol 3 kinase-protein kinase B signaling pathway. …”

Image_1_Screening and Identification of Key Microenvironment-Related Genes in Non-functioning Pituitary Adenoma.TIF by Jing Guo (102972)

“…We identified 497 intersection DEGs based on the high vs. low immune/stromal score groups. Function enrichment analyses of 497 DEGs and hub genes from the PPI network showed that these genes are mainly involved in the immune/inflammatory response, T cell activation, and the phosphatidylinositol 3 kinase-protein kinase B signaling pathway. …”

Accurate Electronic and Optical Properties of Organic Doublet Radicals Using Machine Learned Range-Separated Functionals by Cheng-Wei Ju (9142674)

“…Phys. Chem. Lett.</i>, <b>2021</b>, 12, 9516–9524], a range-separated hybrid (RSH) exchange–correlation (XC) functional constructed using the <i>stacked ensemble machine learning</i> (SEML) algorithm, from closed-shell organic semiconducting molecules to doublet-spin organic semiconducting radicals. …”

Accurate Electronic and Optical Properties of Organic Doublet Radicals Using Machine Learned Range-Separated Functionals by Cheng-Wei Ju (9142674)

“…Phys. Chem. Lett.</i>, <b>2021</b>, 12, 9516–9524], a range-separated hybrid (RSH) exchange–correlation (XC) functional constructed using the <i>stacked ensemble machine learning</i> (SEML) algorithm, from closed-shell organic semiconducting molecules to doublet-spin organic semiconducting radicals. …”

SHAP values for chromatin-associated proteins profiled in integrative model from Hughes et al. [21] and Wang et al. [22] (A) Heatmap of absolute mean SHAP values for different algo... by Kashyap Chhatbar (9515350)