Cross-validated estimate of MSE error for the LASSO, Ridge and Elastic Net penalties (from top to bottom respectively) as a function of <i>log</i>λ. by Omid Chatrabgoun (17960015)

Bioinformatic Analysis Reveals both Oversampled and Underexplored Biosynthetic Diversity in Nonribosomal Peptides by Bo-Siyuan Jian (14669996)

Subjects: “…structural prediction algorithms…”

DataSheet1_Bayesian hidden mark interaction model for detecting spatially variable genes in imaging-based spatially resolved transcriptomics data.PDF by Jie Yang (121778)

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Rare variants in <i>SMYD1</i> and <i>BMP10</i> identified in family 346 are functionally damaging. by David M. Gordon (3259002)

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The dataset of all 1,316 variants, their functionally validated impact on splicing, literature source, and exact variant effect annotation. by Yaron Strauch (12769860)

Results of the replicated simulations. by Susana Conde (5495675)

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Top 10 stabilizing or destabilizing mutations predicted to affect protein stability via CUPSAT organized by gene. by Anda Stan (18056225)

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EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

“…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …”

Results obtained by different algorithms on 23 benchmark functions. by Yuqi Xiong (12343771)

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Illustration of the cell detection process. by Adam L. Tyson (10892822)

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The most significant functions in seven gene sets. by Pengcheng Zhao (6009899)

Polar and electrostatic analysis of selected mutations. by Anda Stan (18056225)

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Top five driver mutations that alter protein electrostatic surface potential. by Anda Stan (18056225)

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Major molecular pathways affected by driver mutations in endometrial cancers. by Anda Stan (18056225)

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Mutation distribution in endometrial cancers. by Anda Stan (18056225)

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Mutations identified to significantly affect protein structure. by Anda Stan (18056225)

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Z scores for all endometrial TCGA samples. by Anda Stan (18056225)

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Driver and passenger mutation analysis. by Anda Stan (18056225)

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BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”

Data_Sheet_1_Evaluating the Reproducibility of Single-Cell Gene Regulatory Network Inference Algorithms.docx by Yoonjee Kang (539306)

“…The development of algorithms inferring regulatory interactions from functional genomics data has been an active area of research. …”