iScience

Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact.

iScience

Mondragon-Estrada E, Newburger JW, DePalma SR, Brueckner M, Cleveland J, Chung WK, Gelb BD, Goldmuntz E, Hagler DJ, Huang H, McQuillen P, Miller TA, Panigrahy A, Porter GA, Roberts AE, Rollins CK, Russell MW, Tristani-Firouzi M, Grant PE, Im K, Morton SU

Noncoding variants and sulcal patterns in congenital heart disease: machine learning to predict functional impact.

iScience

Enrique Mondragon-Estrada, Jane W. Newburger, Steven DePalma, Martina Brueckner, John Cleveland, Wendy K. Chung, Bruce D. Gelb, Elizabeth Goldmuntz, Donald J. Hagler, Hao Huang, Patrick McQuillen, Thomas A. Miller, Ashok Panigrahy, George A. Porter, Amy E. Roberts, Caitlin K. Rollins, Mark W. Russell, Martin Tristani-Firouzi, P. Ellen Grant, Kiho Im, Sarah U. Morton