Ewald and Multipole Methods for Periodic N-body Problems. - John A. Board Jr.; Christopher W. Humphres; Christophe G. Lambert; William T. Rankin; Abdulnour Y. Toukmaji (PP, 1997)

Comparative analysis of seven multiple protein sequence alignment servers: clues to enhance reliability of predictions. - Pascal Briffeuil; Guy Baudoux; Christophe G. Lambert; Xavier De Bolle; Carla Vinals; Ernest Feytmans; Eric Depiereux (Bioinform., 1998)

Ewald and Multipole Methods for Periodic N-Body Problems. - John A. Board Jr.; Christopher W. Humphres; Christophe G. Lambert; William T. Rankin; Abdulnour Y. Toukmaji (Computational Molecular Dynamics, 1999)

Efficient On-Line Nonparametric Kernel Density Estimation. - Christophe G. Lambert; S. E. Harrington; C. R. Harvey; A. Glodjo (Algorithmica, 1999)

Analysis of a Large Structure/Biological Activity Data Set Using Recursive Partitioning. - Andrew Rusinko III; Mark W. Farmen; Christophe G. Lambert; Paul L. Brown; S. Stanley Young (J. Chem. Inf. Comput. Sci., 1999)

ESyPred3D: Prediction of proteins 3D structures. - Christophe G. Lambert; Nadia Léonard; Xavier De Bolle; Eric Depiereux (Bioinform., 2002)

PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteria. - Jennifer L. Gardy; Cory Spencer; Ke Wang 001; Martin Ester; Gábor E. Tusnády; István Simon; Sujun Hua; Katalin de Fays; Christophe G. Lambert; Kenta Nakai; Fiona S. L. Brinkman (Nucleic Acids Res., 2003)

Quick and dirty quantum predictions with FIRMplus. - Christophe G. Lambert; James E. Grover (SIGKDD Explor., 2004)

PSORTdb: a protein subcellular localization database for bacteria. - Sébastien Rey; Michael Acab; Jennifer L. Gardy; Matthew R. Laird; Katalin de Fays; Christophe G. Lambert; Fiona S. L. Brinkman (Nucleic Acids Res., 2005)

Visit Level Suicidality/Self-harm Phenotyping in Major Mental Illness. - Praveen Kumar; Anastasiya Nestsiarovich; Aurélien J. Mazurie; Nathaniel G. Hurwitz; Stuart J. Nelson; Christophe G. Lambert (AMIA, 2018)

Local Control: a microaggregation methodology for performing bias-corrected reproducible observational studies across data silos while protecting patient privacy. - Nicolas R. Lauve; Stuart J. Nelson; Sidney S. Young; Robert L. Obenchain; Christophe G. Lambert (AMIA, 2018)

Comparison of Bipolar Disorder Monotherapies for Risk of Psychiatric Hospitalization. - Anastasiya Nestsiarovich; Aurélien J. Mazurie; Nathaniel G. Hurwitz; Berit Kerner; Stuart J. Nelson; Annette S. Crisanti; Mauricio Tohen; Ronald Krall; Douglas J. Perkins; Christophe G. Lambert (AMIA, 2018)

STRAIN: an R package for multi-locus sequence typing from whole genome sequencing data. - Mattia Dalsass; Margherita Bodini; Christophe G. Lambert; Marie-Cécile Mortier; Marco Romanelli 002; Duccio Medini; Alessandro Muzzi; Alessandro Brozzi (BMC Bioinform., 2019)

Imputation and characterization of uncoded self-harm in major mental illness using machine learning. - Praveen Kumar; Anastasiya Nestsiarovich; Stuart J. Nelson; Berit Kerner; Douglas J. Perkins; Christophe G. Lambert (J. Am. Medical Informatics Assoc., 2020)

LocalControl: An R Package for Comparative Safety and Effectiveness Research. - Nicolas R. Lauve; Stuart J. Nelson; S. Stanley Young; Robert L. Obenchain; Christophe G. Lambert (J. Stat. Softw., 2020)

Disparities in Coded and Imputed Post-Traumatic Stress Disorder and Self-Harm Among US Veterans. - Sharon E. Davis; Praveen Kumar; Nicolas R. Lauve; Sharidan K. Parr; Daniel Park; Michael E. Matheny; Gerardo Villarreal; George Uhl; Yiliang Zhu 001; Mauricio Tohen; Douglas J. Perkins; Christophe G. Lambert (AMIA, 2021)

TIGA: target illumination GWAS analytics. - Jeremy J. Yang; Dhouha Grissa; Christophe G. Lambert; Cristian Bologa; Stephen L. Mathias; Anna Waller; David J. Wild 001; Lars Juhl Jensen; Tudor I. Oprea (Bioinform., 2021)

PULSNAR - Positive unlabeled learning selected not at random: class proportion estimation when the SCAR assumption does not hold. - Praveen Kumar; Christophe G. Lambert (CoRR, 2023)

Environment Scan of Generative AI Infrastructure for Clinical and Translational Science. - Betina Idnay; Zihan Xu; William G. Adams; Mohammad Adibuzzaman; Nicholas R. Anderson 001; Neil Bahroos; Douglas S. Bell; Cody Bumgardner; Thomas R. Campion Jr.; Victor M. Castro; James J. Cimino; I. Glenn Cohen; et al. (CoRR, 2024)

Positive Unlabeled Learning Selected Not At Random (PULSNAR): class proportion estimation without the selected completely at random assumption. - Praveen Kumar; Christophe G. Lambert (PeerJ Comput. Sci., 2024)

Detecting Opioid Use Disorder in Health Claims Data With Positive Unlabeled Learning. - Praveen Kumar; Fariha Moomtaheen; Scott A. Malec; Jeremy J. Yang; Cristian Bologa; Kristan Alexander Schneider; Yiliang Zhu 001; Mauricio Tohen; Gerardo Villarreal; Douglas J. Perkins; Elliot M. Fielstein; Sharon E. Davis; et al. (IEEE J. Biomed. Health Informatics, 2025)