Add DAA methods (#647)

inst/assets/bibliography.bib

@@ -2307,3 +2307,17 @@ @Manual{Benedetti2024miadash
     note = {R package version 0.99.0},
     url = {https://github.com/microbiome/miaDash},
 }
+
+@article{mangiola2023,
+    author = {Stefano Mangiola  and Alexandra J. Roth-Schulze  and Marie Trussart  and Enrique Zozaya-Valdés  and Mengyao Ma  and Zijie Gao  and Alan F. Rubin  and Terence P. Speed  and Heejung Shim  and Anthony T. Papenfuss },
+    title = {sccomp: Robust differential composition and variability analysis for single-cell data},
+    journal = {Proceedings of the National Academy of Sciences},
+    volume = {120},
+    number = {33},
+    pages = {e2203828120},
+    year = {2023},
+    doi = {10.1073/pnas.2203828120},
+    URL = {https://www.pnas.org/doi/abs/10.1073/pnas.2203828120},
+    eprint = {https://www.pnas.org/doi/pdf/10.1073/pnas.2203828120},
+    }
+

inst/pages/differential_abundance.qmd

@@ -503,12 +503,14 @@ design or data type. Commonly used DAA tools include:
 - ALDEx2 [@Gloor2016]
 - ANCOM [@Mandal2015]
 - ANCOMBC [@ancombc2020]
+- BIRDMAn [@Rahman2023]
 - corncob [@Martin2021]
 - DACOMP [@Brill2019]
 - DESeq2 [@Love2014]
 - eBay [@Liu2020]
 - edgeR [@Chen2016]
 - fastANCOM [@fastANCOM2022]
+- fido [@Silverman2019]
 - LDM [@Hu2020]
 - lefser [@Khlebrodova2021]
 - limma [@Ritchie2015]
@@ -517,9 +519,9 @@ design or data type. Commonly used DAA tools include:
 - metagenomeSeq [@Paulson2017]
 - Omnibus [@Omnibus2018]
 - RAIDA [@Sohn2015]
+- sccomp [@mangiola2023]
 - t-test
 - Wilcoxon test
 - ZicoSeq [@Yang2022]
 - ZINQ [@Ling2021]
-- BIRDMAn [@Rahman2023]
 :::