Publication Search Results
Exact matches for:
- Author = Lo KK [web profile page]
1.
Watson OT, Buchmann G, Young P, Lo KK, Remnant EJ, Yagound B, Shambrook M, Hill AF, Oldroyd BP, Ashe A
Owen T Watson , Gabriele Buchmann, Paul Young , Kitty Lo, Emily J Remnant , Boris Yagound , Mitch Shambrook, Andrew F Hill, Benjamin P Oldroyd and Alyson Ashe:
Abundant small RNAs in the reproductive tissues and eggs of the honey bee, Apis mellifera,
BMC Genomics,
23
(2022),
no. 1,
Article 257 (21 pages).
2.
Singh AK, Lo KK, Dong C, Zhang P, Trethowan RM, Sharp PJ
Amit K. Singh, Kitty Lo, Chongmei Dong, Peng Zhang, Richard M Trethowan, and Peter J Sharp:
Development of rna-seq-based molecular markers for characterizing thinopyrum bessarabicum and secale introgressions in wheat,
Genome,
63
(2020),
no. 11,
525–534.
3.
Patrick R, Humphreys DT, Janbandhu V, Oshlack A, Ho JWK, Harvey RP, Lo KK
Ralph Patrick, David T Humphreys, Vaibhao Janbandhu, Alicia Oshlack, Joshua W K Ho, Richard P Harvey & Kitty K Lo:
Sierra: discovery of differential transcript usage from polyA-captured single-cell RNA-seq data,
Genome Biology,
21
(2020),
no. 1,
Art. 167 (27 pages).
4.
Cao Y, Lin Y, Ormerod JT, Yang P, Yang YH, Lo KK
Yue Cao, Yingxin Lin, John T Ormerod, Pengyi Yang, Jean Y H Yang and Kitty K Lo:
ScDC: Single cell differential composition analysis,
BMC Bioinformatics,
20
(2019),
no. Suppl 19:721,
12 pages.
5.
Kim T, Lo KK, Geddes TA, Kim HJ, Yang YH, Yang P
Taiyun Kim, Kitty Lo, Thomas A Geddes, Hani Jieun Kim, Jean Yee Hwa Yang and Pengyi Yang:
scReClassify: post hoc cell type classification of single-cell rNA-seq data,
BMC Genomics,
20
(2019),
no. Suppl 9:913,
10 pages.
6.
Lin Y, Ghazanfar S, Wang KYX, Gagnon-Bartsch JA, Lo KK, Su X, Han ZG, Ormerod JT, Speed TP, Yang P, Yang YH
Yingxin Lin , Shila Ghazanfar, Kevin Y X Wang, Johann A Gagnon-Bartsch , Kitty K Lo , Xianbin Su, Ze-Guang Han, John T Ormerod , Terence P Speed, Pengyi Yang and Jean Yee Hwa Yang:
scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets,
PNAS,
116
(2019),
no. 20,
9775–9784.
Number of matches: 6 |