List of works - Amanda Spurdle - Paulina

List of works by Amanda Spurdle

Assessment of branch point prediction tools to predict physiological branch points and their alteration by variants

Assessment of branch point prediction tools to predict physiological branch points and their alteration by variants

Assessment of branch point prediction tools to predict physiological branch points and their alteration by variants

Figure 5 from ENIGMA <i>CHEK2</i>gether Project: A Comprehensive Study Identifies Functionally Impaired <i>CHEK2</i> Germline Missense Variants Associated with Increased Breast Cancer Risk

Figure 6 from ENIGMA <i>CHEK2</i>gether Project: A Comprehensive Study Identifies Functionally Impaired <i>CHEK2</i> Germline Missense Variants Associated with Increased Breast Cancer Risk

Genetic analyses of gynecological disease identify genetic relationships between uterine fibroids and endometrial cancer, and a novel endometrial cancer genetic risk region at the WNT4 1p36.12 locus

Online Supplementary Materials from A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk

SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion

Supplementary Methods 1 from ENIGMA <i>CHEK2</i>gether Project: A Comprehensive Study Identifies Functionally Impaired <i>CHEK2</i> Germline Missense Variants Associated with Increased Breast Cancer Risk

Table S1 from A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk

Table S1 from ENIGMA <i>CHEK2</i>gether Project: A Comprehensive Study Identifies Functionally Impaired <i>CHEK2</i> Germline Missense Variants Associated with Increased Breast Cancer Risk

Table S2 from A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk

Table S2 from A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk

Table S3 from A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk